AI Solutions Engineering - North America

Our organization is scaling from individual AI initiatives to a durable, enterprise-grade delivery organization. We’re looking for someone to lead the multidisciplinary technical team that turns AI use cases into shipped production capabilities - AI Solutions Architects, Data Engineers, Data Scientists, Agentic/Prompt Engineers, and Visualization & Full-Stack Developers. You’ll build and run this department: hiring and developing the team, setting engineering standards, and making sure the handoffs between these disciplines are fast and clean rather than a source of friction. You’ll work in close partnership with AI Product Management, which owns the use case roadmap and business requirements your team builds against.

This is a player-coach leadership role, not a purely administrative one. You’ll set technical and delivery standards, remove roadblocks, and be the person accountable when the portfolio does - or doesn’t - ship on time and at quality.

What You’ll Do:

• Lead and grow a multidisciplinary technical team spanning Solutions Architects, Data Engineers, Data Scientists, Prompt/Agentic Engineers, and Visualization & Full-Stack Developers
• Own end-to-end delivery accountability for the AI use case portfolio: on-time, on-quality delivery from intake through production adoption
• Define how the disciplines on your team work together - clear ownership boundaries, handoff points, and working agreements between roles that could otherwise overlap (e.g., architecture vs. engineering, data science vs. engineering)
• Set and enforce engineering and delivery standards: code quality, model validation rigor, architecture review, documentation, and production readiness criteria
• Own hiring, onboarding, performance management, and career development for the department; build the org structure as headcount scales
• Partner closely with the AI Product Management organization, translating their roadmap and business requirements into a resourced, sequenced technical delivery plan
• Manage capacity planning and resource allocation across concurrent use cases, balancing quick wins against larger strategic builds
• Ensure every use case moves through the department’s governance process (risk tiering, intake, architecture review) efficiently, without becoming a bottleneck to delivery
• Own the technology and tooling strategy for the department, including the role of Microsoft Copilot / Copilot Cowork, Snowflake, and other core platforms in the team’s delivery approach
• Report delivery performance, capacity, and portfolio health to enterprise leadership; own escalations when priorities conflict or delivery is at risk
• Represent the engineering organization in cross-functional planning with legal, security, IT, and business unit stakeholders

• Bachelor’s degree in Computer Science, Engineering, or related field
• Minimum 8 years in engineering or technical leadership roles, with 3+ years directly managing engineers, data scientists, or similar technical disciplines
• Demonstrated experience leading multidisciplinary technical teams (data engineering, data science, and/or software engineering) through the full build-to-production lifecycle
• Strong technical fluency across the AI/ML stack - enough to evaluate architecture decisions, review technical tradeoffs, and earn credibility with senior engineers, even if you’re not hands-on daily
• Track record of building or significantly scaling a technical team or function, including hiring and org design
• Experience running delivery in a large, matrixed enterprise, balancing speed with governance, security, and risk requirements
• Strong stakeholder management skills - comfortable translating between technical teams and business/executive audiences in both directions
• Sound judgment on prioritization and resourcing trade-offs under real capacity constraints, * 10+ years in engineering or technical leadership roles, with 5+ years directly managing engineers, data scientists, or similar technical disciplines
• Advanced degree in Computer Science, Engineering, or a related field
• Prior automotive OEM or manufacturing enterprise experience
• Experience standing up an AI or data function from early stage to scaled department
• Direct experience with Microsoft Copilot / Copilot Cowork and Snowflake in an enterprise delivery context
• Experience operating within a formal AI governance framework (risk tiering, model review, responsible AI standards)

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.