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# AI Solutions Engineering - North America

- **Company:** Fiat Chrysler Automobiles N.V.
- **Location:** Auburn Hills, MI, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Quality, Information Engineering, Software Product Management, Microsoft Copilot, Software Engineering, Snowflake, Model Validation, Agentic-AI, Information Technology
- **Published:** October 9, 2026
- **Apply:** https://careers.stellantis.com/job/23981792/ai-solutions-engineering-north-america-auburn-hills-mi/

## About the Role

* 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)

## Description

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