Who We Are

Derivative Path empowers institutions across the capital markets with innovative, AI-driven technology and expert advisory solutions. Our award-winning cloud platform supports banks, credit unions, private equity firms, hedge funds, asset managers, and insurance companies in managing interest rate, FX, and commodity risks, optimizing hedging strategies, and streamlining cross-border payments. With a client base spanning over 250 financial institutions and leading private equity firms, we deliver scalable solutions that enhance risk management and drive operational performance. Through strategic partnerships with Goldman Sachs, Wells Fargo, FNBO, Q2, and Jack Henry, we provide best-in-class capabilities to help clients achieve their financial objectives in an ever-evolving market.

With a team of seasoned professionals comprised of decades of industry experience, Derivative Path offers a flexible, hybrid work environment to its 125+ employees with the ability to work remotely in Canada. The Company is dedicated to building a diverse environment and has an unwavering commitment to creating a sense of belonging for all employees.

The Opportunity

We are looking for an Applied AI Engineer to join the AI Lab team within DerivativeEDGE. Reporting to the AI Lab lead, you will work closely with Engineering, Product, and domain experts to design, build, and ship AI-powered features in a complex, high-stakes financial environment. This is a hands-on engineering role. You will move between experimentation and production, work through ambiguous problems, and deliver AI capabilities that real clients use. Generic approaches do not get you far here. The expectation is that you learn the domain, move with urgency, and build things that hold up. The core of this role sits at the intersection of Generative AI, Agentic Workflows, and Data Engineering: building LLM-powered solutions, designing agents that can reason and act across complex workflows, and making sure the right data is available to support it all. Applied to financial derivatives, these are genuinely hard problems worth solving.

What You Will Do

• Build and ship LLM-powered features across the DerivativeEDGE platform, working directly with domain experts to translate complex financial workflows into reliable AI capabilities.
• Design and implement agentic workflows that can reason, act, and recover gracefully across multi-step processes in a production environment.
• Own the data engineering layer that feeds AI systems: pipelines, retrieval architectures, context design, and data quality.
• Move fluidly between experimentation and production. You will prototype quickly, evaluate honestly, and know when something is ready to ship.
• Contribute to the AI Lab’s broader technical direction, including evaluations, tooling, MLOps practices, and the patterns the team builds on.
• Depending on where projects take you, work may also touch NLP, model fine-tuning, synthetic data, or reinforcement learning. Curiosity and a willingness to build in new areas are expected

About You

• You are someone who moves with purpose. You form a view based on what you know, test it against reality, and adjust as you learn. Ambiguity is not a blocker for you; it is just the nature of early-stage problems.
• You are hands-on by preference. Writing code, building pipelines, running experiments: that is where you do your best thinking.
• You are a quick study. Financial derivatives is a specialized domain and we do not expect you to know it coming in. What we do expect is genuine curiosity, because the depth you develop here will directly shape the quality of what you build.
• You stay constructive. This is a team working on consequential problems in a demanding environment. When things go sideways, you focus on the path forward. Collaboration and good energy matter.
• You are pragmatic about tools and languages. You reach for whatever the project calls for and stay open to better options as they emerge.

Qualifications

• Building with LLMs: prompt engineering, RAG, fine-tuning, agents, or inference pipelines
• Data engineering: designing and building pipelines that feed real workflows
• ML or data science work, especially in complex or data-constrained environments
• Working knowledge of Python and common AI/ML frameworks (PyTorch, HuggingFace, LangChain, or similar)
• MLOps or production AI experience: getting models out of notebooks and into the real world
• Cloud platform experience (Azure, AWS, or GCP)
• Experience with reinforcement learning or financial derivatives is a bonus, not a baseline.

Location

• Canada

Benefits

• Competitive bonus, base salary, and equity compensation
• 23 days of PTO
• Fully remote
• RRSP contribution at 3%
• Competitive health benefits

The expected salary for this position is $110k - $150k CAD and is eligible for a discretionary bonus and equity. We will consider your skills, experience, and location when determining your pay.

---—————————————————————————————————————

Derivative Path is an equal opportunity employer and does not discriminate based on any of the following: race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression or gender characteristic, national origin, religion, marital status, medical condition, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Derivative Path offers a comprehensive benefits package, including health, dental, vision, retirement plan, contribution, and a generous paid time off policy.

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs.

Reports to: VP, Performance Marketing

Location: Toronto, ON (Hybrid) preferred

About the Role

As our AI Solutions Engineer, you will build, deploy, and scale AI-powered tools and automations across CSC Generation’s portfolio of brands. This is a hands-on role that connects AI capabilities with real business processes — you will partner directly with teams, identify where automation creates leverage, and ship solutions that stick.

You will start in performance marketing and expand into operations, creative, and logistics wherever AI can unlock efficiency and scale. Success in your first 6–12 months means production automations are live, teams across multiple departments are actively using them, and measurable reductions in manual work are documented.

What You’ll Do

• Build and deploy AI tools and automations across brands, including image processing, feed optimization, content generation, reporting, and process streamlining.
• Connect software systems and APIs to create integrated workflows that scale across multiple brands with minimal reconfiguration.
• Work directly with teams across departments to understand their manual processes and build AI-powered solutions that replicate and improve them.
• Write scripts (Python, JavaScript) and design AI workflows using platforms like Claude, ChatGPT, and workflow automation tools (n8n, Zapier, Make, or similar).
• Cross-connect data across platforms including Google Ads, Meta Ads, Google Analytics, Google Merchant Center, content management systems, and image libraries.
• Scale proven tools to additional brands by adapting validated solutions for cross-brand deployment.
• Train non-technical teams on AI tools and ensure sustained adoption and productivity gains.
• Continuously identify high-impact automation opportunities by networking across the organization and prioritizing by ROI.

Required Qualifications

• 2-5 years of experience building automations, integrations, or AI-powered tools in a marketing, e-commerce, or operations environment.
• Proven experience building autonomous AI agents and architectures, moving beyond standard, linear workflow flows (e.g., n8n, Zapier) to design stateful, dynamic AI systems.
• Strong working knowledge of LLMs (Claude, ChatGPT, etc) nd the ability to design reliable, production-grade agentic workflows, prompts, and tool-calling schemas.
• Comfortable writing Python and/or JavaScript to connect APIs, manage data pipelines, handle state, and build lightweight application layers for AI agents.
• Experience with workflow automation platforms (n8n, Zapier, Make, etc) as a component of broader automated solutions.
• Familiarity with digital marketing and e-commerce ecosystems, including platforms like Google Ads, Meta Ads, Google Analytics, or Google Merchant Center.
• Strong communication skills with a demonstrated ability to independently identify business friction, propose agentic solutions, and ship without heavy direction.

Preferred Qualifications

• Experience with n8n specifically.
• Hands-on experience infrastructure tools like MCP (Model Context Protocol) servers, LangChain, CrewAI, or similar agentic frameworks.
• Background in retail, DTC, or multi-brand e-commerce environments.
• Experience training or onboarding non-technical users on new tools.

Why Join

The people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work.

• Cross-Functional Impact: Work across marketing, e-commerce, creative, logistics, and operations. Your automations will touch every part of the business.
• AI-First Environment: This isn’t an AI experiment. Get hands-on with the most advanced AI tools in market — from workflow automation to LLM-powered systems — and build a modern skill set that sets you apart.
• Ownership from Day One: You will set your own priorities, identify your own opportunities, and ship solutions end-to-end. High performers are quickly entrusted with broader scope across the brand portfolio.
• Competitive Benefits: Comprehensive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands.

Interview Process

1. Recruiter Screen - 30-minute call to cover background, role fit, and logistics.
2. Take-Home Challenge - Build a working automation flow demo (2-3 days, open book). We’re evaluating problem-solving and AI fluency, not memorized syntax.
3. Solution Review Interview - Walk us through your solution, then handle live modifications on the call. We’ll also assess how you communicate to non-technical stakeholders.
4. In Person Interview - Details and logistics will be arranged with your recruiter.
5. Reference Checks - We’ll ask for professional references and conduct checks in parallel with final steps.
6. Offer - We move fast for the right candidate.

$75,000 - $85,000 a year

CSC Generation is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

The CSC Generation family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected].

For Ontario applicants, please note that this posting is for an existing vacancy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

This role requires travel to local customer sites. Our engineers work daily with AI coding tools such as Claude Code, Codex, and Cursor. The specific tools evolve over time.

AI at BambooHR

At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

Essential Job Duties

BambooHR builds HR software that small and mid-sized businesses run on every day. We are looking for software engineers who use AI to build production-quality software. As a Senior Forward Deployed Engineer, you own the complete customer engagement cycle, from first discovery session to deployed solution. Engagements are focused, time-boxed, and built for SMB customers.

You are driven to solve real customer problems, and you scope, build, and ship with full autonomy. The AI tools and capabilities are changing rapidly. To stay resilient through change, you prioritize curiosity and continual learning, and you actively apply new best practices. You are accountable for what ships: its correctness, its reliability, and its fit to the problem it was built to solve.

You will:

• Lead on-site and video-based discovery sessions with customers to understand workflow challenges and produce a clear definition of what to build.
• Define project scope and deliverables with customers, setting realistic timelines and managing expectations through delivery.
• Build AI-powered agents, custom tools, and automated workflows for each customer’s HR needs, deployed within the BambooHR platform.
• Learn each customer’s internal systems and data sources to design integrations that fit their environment.
• Construct each solution so it can be adapted for customers with similar needs.
• Validate every solution for correctness, reliability, and fit before it reaches the customer.
• Transition completed engagements to the tools team with thorough documentation for clean handoffs and maintainability.
• Surface field learnings as product insights, sharing patterns and opportunities that belong in the BambooHR core product.
• Partner with Product, Engineering, and Customer Experience on roadmap opportunities identified through field work.
• Contribute to the Forward Deployed Engineering practice by applying its engagement playbooks, scoping frameworks, and handoff standards, and improving them from what each engagement teaches.

What You Need to Get the Job Done

• 5+ years of software engineering experience with a record of shipping production software.
• Sound judgment for when to build custom solutions and when to extend existing patterns for reuse.
• Full-stack development experience, building and shipping independently.
• Proficiency in designing systems, data models, and architecture, including performance and data-flow tradeoffs.
• Track record of building and deploying AI agents and AI-powered solutions.
• Fluency in context engineering: structuring repo and task context so agents execute reliably.
• Confidence reading unfamiliar code and running root-cause analysis to debug it.
• Demonstrated ability to review code for security and privacy risks: injection, data-handling, and unsafe generated output.
• Experience with test design and test evaluation harnesses.
• Proven ability to follow safe release practices: CI/CD, feature flags, staged rollout, and rollback.
• Depth in writing clear technical documentation for both people and agents.
• Strong written and verbal communication, including conveying customer needs, proposed solutions, and technical decisions to technical and non-technical audiences.
• Prior consulting or client-facing delivery experience is a plus.

What You’ll Love About Us

• A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
• Comprehensive health, life, and disability insurance
• Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
• 401k plans with up to 6% company match
• $2000 Paid-Paid Vacation bonus
• EAP through Headspace
• Check out all our benefits that benefit you

About Us

At BambooHR, we’re building something different: we’re building a people intelligence platform that transforms HR and sets people free to do great work! We’re a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you’ll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn’t just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer–M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

For information on California Privacy Policy, click here.

Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details.

See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacart’s Enterprise Solutions team is building a first-of-its-kind business: embedding directly with enterprise retail and CPG partners to design, sell, and deliver AI-powered solutions at scale. We are a small, senior, field-first pod — part startup, part consultancy — defining the playbook as we go.

As a Forward Deployed Engineer, you are Instacart’s hands-on technical presence inside enterprise customer environments. You will sit inside retailers’ and partners’ ecosystems, understand their infrastructure, and build agentic AI solutions on top of it. As part of your mission, you will brainstorm with partner technical leaders and collaborate on solution designs that deliver value while remaining compatible with existing environments and infrastructure. You will also collaborate closely with Instacart R&D’s team, informing platform evolution and serving as the bridge between what gets built internally and what actually works in the real world.

About the Job

• Embed with enterprise retail customers and partners to understand their technical environments, data systems, and business workflows.
• Design, build, and deploy AI and agentic solutions tailored to each customer’s specific infrastructure and needs, across Instacart’s full platform suite.
• Extend, adapt, and integrate Instacart’s core AI capabilities to fit customer ecosystems,  even when those systems are undocumented or non-standard.
• Maintain a close working relationship with R&D: participate in product reviews, flag platform gaps encountered in the field, and propose concrete changes that would make the platform work better for enterprise customers.
• Collaborate closely with the AI Solutions Architect to translate domain requirements and architecture into working software.
• Serve as the primary technical point of contact for customers during implementation engagements.

We are looking for builders who thrive in the room with customers, treat ambiguity as a puzzle, and can switch between writing code and facilitating a stakeholder conversation in the same afternoon.

About You

Minimum Qualifications

• 5+ years of software engineering experience with a demonstrated ability to write and ship production-quality code.
• Hands-on experience building with LLM APIs, function calling, tool use, agent frameworks, or RAG pipelines—you have shipped something agentic that real users depended on.
• Proficiency in Python or another scripting/backend language commonly used in data-intensive environments.
• Proven ability to integrate with messy, heterogeneous enterprise data environments — undocumented APIs, schema mismatches, auth complexity, and legacy systems that do not behave the way the docs claim.
• Direct experience with external enterprise customers or technical stakeholders in a consulting or customer-facing capacity — earning trust in the room matters as much as writing code.
• Strong working knowledge of retail and e-commerce system fundamentals.
• Strong communication skills — able to translate field learnings and technical findings into actionable input for R&D and product teams.
• Comfort operating in ambiguous, fast-moving environments where the process is not fully defined.

Preferred Qualifications

• Prior work in a forward deployed, embedded engineering, or professional services capacity.
• Background at a startup or early-stage company where you wore multiple hats.
• Experience in enterprise software implementation, systems integration, or solutions engineering.
• Exposure to retail tech, e-commerce, or supply chain systems.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$203,000—$214,000 USD

WA

$194,000—$205,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$185,000—$195,500 USD

All other states

$169,000—$178,500 USD

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacart’s Enterprise Solutions team is building a first-of-its-kind business: embedding directly with enterprise retail and CPG partners to design, sell, and deliver AI-powered solutions at scale. We are a small, senior, field-first pod — part startup, part consultancy — defining the playbook as we go.

As a Forward Deployed Engineer, you are Instacart’s hands-on technical presence inside enterprise customer environments. You will sit inside retailers’ and partners’ ecosystems, understand their infrastructure, and build agentic AI solutions on top of it. As part of your mission, you will brainstorm with partner technical leaders and collaborate on solution designs that deliver value while remaining compatible with existing environments and infrastructure. You will also collaborate closely with Instacart R&D’s team, informing platform evolution and serving as the bridge between what gets built internally and what actually works in the real world.

About the Job

• Embed with enterprise retail customers and partners to understand their technical environments, data systems, and business workflows.
• Design, build, and deploy AI and agentic solutions tailored to each customer’s specific infrastructure and needs, across Instacart’s full platform suite.
• Extend, adapt, and integrate Instacart’s core AI capabilities to fit customer ecosystems,  even when those systems are undocumented or non-standard.
• Maintain a close working relationship with R&D: participate in product reviews, flag platform gaps encountered in the field, and propose concrete changes that would make the platform work better for enterprise customers.
• Collaborate closely with the AI Solutions Architect to translate domain requirements and architecture into working software.
• Serve as the primary technical point of contact for customers during implementation engagements.

We are looking for builders who thrive in the room with customers, treat ambiguity as a puzzle, and can switch between writing code and facilitating a stakeholder conversation in the same afternoon.

About You

Minimum Qualifications

• 5+ years of software engineering experience with a demonstrated ability to write and ship production-quality code.
• Hands-on experience building with LLM APIs, function calling, tool use, agent frameworks, or RAG pipelines—you have shipped something agentic that real users depended on.
• Proficiency in Python or another scripting/backend language commonly used in data-intensive environments.
• Proven ability to integrate with messy, heterogeneous enterprise data environments — undocumented APIs, schema mismatches, auth complexity, and legacy systems that do not behave the way the docs claim.
• Direct experience with external enterprise customers or technical stakeholders in a consulting or customer-facing capacity — earning trust in the room matters as much as writing code.
• Strong working knowledge of retail and e-commerce system fundamentals.
• Strong communication skills — able to translate field learnings and technical findings into actionable input for R&D and product teams.
• Comfort operating in ambiguous, fast-moving environments where the process is not fully defined.

Preferred Qualifications

• Prior work in a forward deployed, embedded engineering, or professional services capacity.
• Background at a startup or early-stage company where you wore multiple hats.
• Experience in enterprise software implementation, systems integration, or solutions engineering.
• Exposure to retail tech, e-commerce, or supply chain systems.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$185,000—$195,000 CAD

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we’re a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

Why This Role Matters

Our IT team runs lean by design: a Director of IT, an Onsite IT Support Specialist, and this role. That means every system we run has to work harder than it would at a bigger company, and the tools we use to run it have to be smarter, not just more numerous.

This isn’t a keep-the-lights-on IT job. You’ll own our AI-first transformation end to end, taking on the tools, workflows, and systems that let a two-to-three person team support a company our size without drowning in manual tickets. You’ll build the automation, own the identity and access architecture, and make sure every employee has what they need to do their job from day one.

You must be AI-forward. If you don’t already reach for an AI tool before you reach for a spreadsheet, this isn’t the right seat.

What You’ll Own

AI-First Help Desk & Automation

• Take full ownership of Serval, driving ticket deflection from manual resolution toward AI-assisted and self-service resolution.

• Evaluate and pilot Serval Journeys (or equivalent tooling) to automate onboarding and offboarding provisioning workflows.

• Build and maintain automations across Claude, Notion, and Slackbot that cut manual IT work wherever it shows up.

Identity, Access & Directory Management

• Own provisioning and de-provisioning across our SaaS stack, ensuring access is granted and revoked accurately and on time.

• Lead the Rippling integration for directory sync, using it to reliably determine manager, title, and department for every employee, so the right tech stack reaches the right person automatically.

• Administer Google Workspace end to end: user lifecycle, groups, security settings, and day-to-day support.

Endpoint & Device Management

• Administer Iru MDM (formerly Kandji) across macOS, iPadOS, and Windows, with EDR enabled and enforced fleet-wide.

• Own procurement and asset lifecycle management: hardware purchasing, deployment, tracking, and retirement.

Onboarding, Support & Documentation

• Drive day-one readiness for every new hire: all required tools and access provisioned and working before their start date.

• Step in on help desk tickets directly to back up the Onsite IT Support Specialist during peak load or time off.

• Document everything. Own and build out our IT process documentation in Notion/Serval so institutional knowledge doesn’t live in one person’s head.

Partnership

• Work in close daily collaboration with the Director of IT and the Onsite IT Support Specialist as a tightly coordinated three-person team.

What We’re Looking For

Experience

• 5-10 years in IT engineering, systems administration, or a similar hands-on IT role.

• Deep experience with Google Workspace administration at the org level.

• Experience managing an MDM platform (Kandji, Jamf, Intune, or similar) across multiple operating systems, with EDR.

• Track record of building automations that replace manual work — you reach for code or no-code tools to do it.

Mindset

• You operate with extreme ownership. You take projects from start to finish without needing much guidance, and you don’t wait to be told what’s next.

• You bring a security mindset to identity, access, and device management.

• You write clearly. Documentation isn’t an afterthought, it’s part of how you work.

• You’re comfortable being one of three people responsible for IT at an entire company, and you thrive on that kind of scope.

Bonus

• Experience with Serval, or comparable AI-powered IT support/automation platforms.

• Hands-on experience with Rippling, Deel, or similar HRIS platforms for provisioning and directory data.

• Scripting or automation experience (Bash, Python, PowerShell, n8n, Zapier, or similar).

• Prior exposure to Claude, ChatGPT, or other AI tools used operationally, not just casually.

$100,000 - $120,000 a year

• Base salary: $100,000 - $120,000
• Comprehensive benefits

This is a hybrid role based in Austin, TX, requiring 2-3 days per week onsite.

Join us in shaping the future of real estate

The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.

We’re a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.

Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We’re backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date.

More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry’s most powerful brokerages rely on Luxury Presence as a trusted business partner.

Every year since 2020, Luxury Presence has ranked on BuiltIn’s Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we’ve received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform.

Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Recruitment Notice: Luxury Presence employees will only contact candidates from an @luxurypresence.com email address. We may work with trusted recruiting partners who will contact you from their company’s email domain. If you have questions about the authenticity of a recruiting communication, please contact [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Headquarters: United States
URL: http://te.com

Job Posting Title: AI Business Acceleration Manager (Remote - Harrisburg, PA area)  
Job ID: 152378 
Job Code: 30005338    
Business Unit: [[businessUnit]]  
Building: TYCO ELECTRONICS 3101 FMR (128)  
Band/Level: 4  
Hiring Manager: Payal Jain 
Recruiter: Pete Roosendaal
Relocation: No  
Travel: Less than 10%  
Employee Referral Amount: $1,500.00  
Education Experience: Bachelors Degree (High School +4 years)  
Employment Experience: 5-7 years  

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

​
 

Job Overview

The AI Business Acceleration Manager is a hands-on AI product and enablement leader responsible for identifying and delivering high-impact AI and automation initiatives across the ACL sector.
This role focuses on identifying and documenting AI use cases, developing POCs, and collaborating with the Enterprise AI Governance Council to scale practical AI solutions that improve overall operational efficiency and commercial performance. Working closely with various BU leaders and stakeholders across manufacturing, supply chain, marketing, sales, customer care, and data teams, this individual translates business needs into AI-enabled solutions, focusing on driving measurable results through disciplined execution.

 

***The ideal candidate will reside within a 3-hour drive of the Harrisburg, PA metro area***

 

Key Responsibilities

 

AI Use Case Identification & Delivery
•    Identify, validate, and prioritize high-value AI and automation opportunities aligned with ACL sector priorities across CLS, IND, and PTS.
•    Translate business challenges into actionable AI and automation initiatives, partnering with data, tech teams, and process owners, as needed, to define solutions.
•    Ensure solutions are scalable, practical, and embedded into existing workflows.
•    Build business cases and define measurable ROI and success criteria for initiatives.
•    Establish a demand management framework to identify and prioritize AI and advanced analytics initiatives. 

 

AI Enablement & Adoption
•    Promote responsible and effective use of AI tools such as TELme, Copilot, and ChatGPT Enterprise.
•    Lead AI Trailblazer team meetings by demonstrating practical use cases that improve day-to-day productivity and decision-making and establish AI champions across various functions.
•    Support AI literacy efforts across ACL sector BUs.
•    Track adoption and gather feedback to improve ongoing engagement and AI usage.
•    Build and sustain an AI community of practice within the ACL sector to share lessons learned, tools, and best practices.

 

Cross-Functional Execution
•    Partner with functional leaders to prioritize use cases based on value and feasibility.
•    Coordinate with data, analytics, tech, and process teams to implement AI solutions.
•    Remove blockers and drive progress through structured project management.
•    Ensure alignment with enterprise platforms (Salesforce, SAP, Databricks, etc.).
•    Lead end-to-end delivery of approved AI use cases from concept through pilot and scale.

 

Data Readiness to enable AI use cases
•    Partner closely with the AI Governance Council to ensure priority use cases across ACL BU’s are presented for solutioning.
•    Partner closely with Data & Analytics teams to ensure priority AI use cases have the data access and quality needed for execution.
•    Act as the business bridge, translating AI requirements into clear data needs while ensuring compliance with existing governance and security standards.
•    Identify data gaps impacting AI use case execution.
•    Support creation of curated datasets required for specific AI initiatives.

 

Performance Measurement
•    Define and track KPIs for AI initiatives (revenue impact, productivity gains, cycle time reduction).
•    Monitor pilot performance and recommend scaling decisions.
•    Document lessons learned and identify reusable assets.
•    Stay current on emerging AI tools and technologies.

What your background should look like:

Qualifications:
•    Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MBA, MS, or equivalent) preferred.
•    6–8 years of experience in digital product management, business transformation, AI enablement, or automation.
•    Experience delivering AI, analytics, or workflow automation solutions in a matrixed organization.
•    Working knowledge of LLMs, prompt engineering, workflow automation tools, or Python scripting.
•    Strong understanding of enterprise data environments (Salesforce, SAP, Snowflake, Databricks, etc.).
•    Demonstrated ability to translate business challenges into practical digital solutions.
•    Strong communication and influence skills; able to inspire adoption and align senior stakeholders.

 

Success Metrics:
•    Successful delivery of prioritized AI use cases within agreed timelines.
•    Measurable business value generated (efficiency, revenue enablement, cost reduction).
•    Adoption rate of deployed AI tools within supported functions.
•    Reusability of developed AI assets across teams.
•    Increased AI literacy within supported business units.
•    Demonstrated an AI-first mindset and proactive experimentation within ACL BU’s.

 

Join our team and play a pivotal role in transforming how TE Connectivity’s ACL Sector leverages AI and automation to drive growth, efficiency, and customer impact. If you’re passionate about building innovative AI solutions, raising the bar on digital capability, and shaping the future of how our teams work, we’d love to hear from you!

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, TeamworkSET : Strategy, Execution, Talent (for managers)

COMPENSATION
•    Competitive base salary commensurate with experience: $161,200 - $241,800 (subject to change dependent on physical location)
•    Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
•    Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
•    A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

EOE, Including Disability/Vets

 

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

To apply: https://weworkremotely.com/remote-jobs/te-connectivity-ai-business-acceleration-manager-remote-harrisburg-pa-area

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html