Director, AI/ML Engineering

Job description

Role Summary

The Director of AI/ML Engineering — North America builds and leads our North American AI/ML engineering organization: a team of full-stack AI/ML engineers delivering production AI products for engineering, quality, and vehicle-data use cases. This is a hands-on engineering leadership role with a deliberate emphasis on solution development — complete, production solutions including the user touchpoints and applications on top of them: we are looking for a leader with deep, current software-development experience — someone who has shipped and operated real solutions end-to-end, not only models — to balance and strengthen a team whose roots are in data science and ML.

You will build a North America team of 6–8 engineers — including hiring through an active pipeline — and own the delivery and production health of the AI/ML products your teams build.

The AI & ML Engineering organization is global

expect significant coordination across regions, and project teams that may be globally dispersed. How we operate (read this before applying) Our products are owned end-to-end by engineering leaders — you and your teams carry them from design through production and into maintain-and-optimize. Direction, requirements, and priorities come through our program and product-management partners. This is a deliberate operating model, not a gap: the role succeeds through strong delivery inside that partnership — shaping requirements, pushing back with evidence, and building trust with program teams — not through sole control of product direction.

Leaders here own products and stay close to the work; this is not a pass-through people-management position.

Key Responsibilities

Team leadership & growth

• Build and lead the North America AI/ML engineering team (6–8 engineers, including hiring) — recruiting, coaching, performance, and career development
• Drive an active recruiting pipeline (external search partners + internal talent acquisition); raise the bar on engineering craft with every hire
• Develop engineers toward the full-stack AI/ML profile: comfortable across data, modeling, services, and application layers Solution & product delivery The workload spans two distinct AI development modes, and this role delivers both: Agentic systems (primary growth area): lead the build-out of agentic AI capability — tool-using, multi-step agents that orchestrate data, models, and services to automate engineering and quality workflows.

This is where the team is growing and where the Director is expected to lead from the front: agent architectures, orchestration frameworks, tool/API design for agent consumption, evaluation and guardrails for autonomous behavior Generative AI workloads: deliver and evolve LLM-powered product features — summarization, retrieval-augmented generation, content generation, conversational interfaces — as an established and continuing part of the portfolio

• Own delivery of production AI/ML solutions end-to-end: data pipelines, model services, the agentic and generative components above, APIs, and the user touchpoints — applications and dashboards — on top of them
• Set and enforce engineering standards — architecture, code review, testing, CI/CD — and stay hands-on: expect to read and review code
• Work closely with the dedicated MLOps team and hand off to them for production release and operation — build to their readiness standards and gates, and route production-driven code changes back through your teams Champion AI-native engineering practice — agentic development tooling, high AI-assisted throughput with engineering discipline Cross-functional leadership
• Partner with program and product-management teams on scope, priorities, and delivery commitments; communicate progress with evidence
• Operate as part of a global organization — significant coordination with teams and functional leads across regions (data science, MLOps, data engineering); project teams may be globally dispersed, and NA-built products align with global platforms and standards
• Contribute to the AI/ML Engineering leadership team: org design, capacity planning, and the maintain/optimize-vs-new-development balance as products graduate into production Basic Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field A minimum of 12 years in software engineering, including substantial hands-on solution development — services, APIs, and user-facing touchpoints/apps (front-end/full-stack) — with several years leading engineering teams and managers A track record of shipping and operating production software; you have owned systems in production, not just delivered projects Practical experience delivering ML/AI-powered products (the ML depth can come from your team; the engineering judgment must be yours) Hands-on familiarity with LLM-based development across both generative features and agentic systems (tool use, orchestration, multi-step autonomous workflows) — depth on the agentic side is what this role is expected to bring Strong Python; cloud (AWS preferred) and modern data/ML platforms (e.g.

Databricks/Spark) Demonstrated success operating in a matrixed model — delivering through program/product-management partnerships Degree in computer science, engineering, or related field, or equivalent experience Preferred Qualifications: Production experience with agent frameworks, agent evaluation, and guardrails for autonomous systems Experience adopting AI-assisted development tooling across an engineering team Automotive, industrial, IoT, or other regulated/embedded-adjacent domain experience; time-series or vehicle data a plus

Experience growing a site or regional engineering hub, including hiring at pace through external partners Front-end/full-stack delivery experience (dashboards, internal tools, product UIs) Our Benefits — Designed with You in Mind Comprehensive Health & Well-being Coverage From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off We believe in work-life balance.

That's why we offer

17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most. Competitive Retirement Savings Plans We help you plan for the future with: An employer match on contributions to your 401k, Roth, and Catch-Up plans An employer contribution, even if you don't contribute Income Protection & Insurance Options Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products. Family Building Benefit We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy. Support for Your Growth and Giving Back We believe in investing in your future and your passions: Tuition reimbursement Student loan refinancing programs 18 paid volunteer hours each year to make a difference in your community And so much more!

When you join us, you're not just building a career — you're joining a company that supports you, inside and outside of work.