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Search Results Manager, AI/ML Engineering Job ID:

2021404

Career Area:

Engineering Position Type:

Salaried Location:

Headquarters & Technology Center - Auburn Hills 48326 ,

US Date Posted:

September 4, 2026

Brand:

FCA Group Apply Refer A Friend Share this job Share on Facebook Share on Twitter Share on Linkedin Share by Mail https://recruiting.adp.com/srccar/public/RTI.home?r=5001221886710&c=2183219&d=ExternalCareerSite&rb=

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Job Overview Qualifications Benefits Job Overview Role Summary:

The Manager of AI/ML Engineering — North America leads a team of AI/ML engineers and delivers alongside them. This is a deliberate player-coach role: you manage, coach, and grow the team and stay hands-on — personally designing, building, and shipping complete production AI/ML solutions, including the user touchpoints and applications on top of them. You are the delivery anchor for this team: you own the team's commitments and their production health, take the hardest solutions yourself, set the technical bar, and raise the craft of the engineers around you. The role is engineering-first — you lead by building — and balances a team rooted in data science and ML with strong software and solution-delivery depth. The team operates in a global environment and there is functional interaction across regions.

How We Operate:

Our products are owned end-to-end by engineering — 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: the role succeeds through strong delivery inside that partnership — shaping requirements, pushing back with evidence, and building trust — 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 — you are expected to contribute code and solutions directly.

Key Responsibilities:

Team leadership & growth Lead and manage a AI/ML engineering team of engineers — day-to-day direction, coaching, performance, and career development. Some of these engineers may functionally work on programs outside your direct remit, and you will manage engineers that contribute to your programs from other regions.

Contribute to hiring:

interview, raise the bar on engineering craft, and help grow the team through the active pipeline. Develop engineers toward the full-stack AI/ML profile (data, modeling, services, application layers); mentor through code review and pairing. Hands-on delivery (player-coach) Personally own and ship hard solutions end-to-end — data pipelines, model/inference services, agentic/LLM components, APIs, and the user touchpoints (apps, dashboards) on top. Spend a substantial share of your time building and reviewing code — you stay in the work, not just over it. Design and implement ML models on structured, time-series, and unstructured data; own validation, evaluation, and error analysis on the team's deliverables. Solution & product delivery - Own the team's delivery of production AI/ML solutions and their production health end-to-end. Set and enforce engineering standards — architecture, code review, testing, CI/CD. Work closely with the dedicated MLOps team and hand off for production release and operation Build to their readiness standards and gates, and route production-driven code changes back through your team. Cross-functional leadership Partner with program and product-management teams on scope, priorities, and delivery commitments; communicate progress with evidence. Operate within a global organization Coordinate with functional leads and globally dispersed project teams Build products with global platforms and standards.

Qualifications Basic Qualifications:

Bachelor's degree in engineering, computer science, applied mathematics, or a related field, or related field. A minimum of 8 years in software engineering, including substantial hands-on solution development — services, APIs, and user-facing touchpoints/apps (front-end/full-stack) — and experience leading or coordinating a team of engineers. A track record of shipping and operating production software — you have owned systems in production, not just delivered projects — and you remain hands-on today. Practical experience delivering ML/AI-powered products. Strong Python and common ML libraries; ability to work across data, modeling, and software concerns. Cloud (AWS preferred) and modern data/ML platforms (e.g. Databricks/Spark).

Preferred Qualifications:

Experience building agentic/LLM-based systems and adopting AI-assisted development tooling across a team. Automotive, industrial, IoT , or other regulated/embedded-adjacent domain experience; time-series or vehicle data a plus. Familiarity with MLOps concepts (CI/CD for ML, model registry, monitoring, retraining). Front-end/full-stack delivery experience (dashboards, internal tools, product UIs). A track record as a player-coach — leading a team while still contributing code. Benefits Salaried Employee Benefits (US, Non-Represented) Health & Wellbeing Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability. Compensation, Savings, and Retirement Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing. Time Away from Work Paid time includes company holidays, vacation, and Float/Wellbeing Days. Family Benefits 12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances. Professional Growth Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups. Company Car & More Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends. EOE/Disability/Veteran At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Our benefits reflects the

STELLANTIS

commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life. As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired. We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected. Apply Join our Talent Community Create a talent profile to receive relevant job alerts and the latest company news! If you're a U.S. Veteran, please sign up through our Veterans Recruiting Program page. Create a Talent Profile Sign into your profile