The Role
Lead strategy, roadmap, and delivery for coding-agent and GenAI capabilities to improve developer productivity and software quality. Drive platform rollout (Copilot, LLMs), governance, KPIs, partner coordination, enablement, and cross-functional compliance for enterprise adoption.
Summary Generated by Built In
Job Summary & Responsibilities
The GenAI Lead defines the vision, strategy, and roadmap for coding agent capabilities across the Stellantis software engineering ecosystem. This role oversees platforms and agentic development capabilities designed to improve developer productivity, strengthen software quality, and increase overall engineering effectiveness.
Role Accountabilities:- Strategy and roadmap
- Define and communicate a clear vision, strategy, and multi-year roadmap for coding agent capabilities aligned with Stellantis software engineering, AI, and digital transformation priorities.
- Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, risk, and enterprise needs.
- Platform delivery and adoption
- Lead the evaluation, rollout, and continuous improvement of solutions such as GitHub Copilot, Claude Code, Codex, OpenCode, and related agentic coding capabilities.
- Translate strategic priorities into clear epics, target outcomes, adoption plans, and delivery roadmaps for internal teams and external partners.
- Establish the operating model for coding agents, including onboarding, enablement, usage policies, support, and collaboration across engineering communities.
- Team and partner leadership
- Build, grow, and organize the team and ecosystem required to support the coding agent strategy, including internal capabilities, ways of working, and regional coordination.
- Coordinate external suppliers and strategic partners to ensure delivery quality, cost control, alignment with Stellantis standards, and execution against roadmap commitments.
- Performance and governance
- Define and track KPIs such as adoption, active usage, productivity uplift, cycle-time reduction, code quality improvement, and measurable engineering and business impact.
- Work closely with engineering leaders, enterprise architecture, cybersecurity, legal, procurement, finance, and operations teams to ensure consistent execution and governance.
- Ensure coding agent capabilities are deployed responsibly, with guardrails for security, compliance, privacy, intellectual property protection, and enterprise risk management.
Basic Qualifications:
Technical Expertise:
- Bachelor’s degree in Engineering, Computer Science, or a related field
- Minimum 8 years of software engineering experience
- Strong programming skills:
- Python (AI/automation)
- C/C++ (embedded systems preferred)
- Java/TypeScript (enterprise systems)
- Experience with cloud platforms
- Hands-on experience with:
- LLMs (OpenAI, Azure OpenAI, etc.)
- Prompt engineering and RAG architectures
- Experience building:
- AI assistants, copilots, or agent-based systems
- Familiarity with:
- LangChain, Semantic Kernel, or similar frameworks
- Vector databases and retrieval systems
- Experience with:
- Embedded software or vehicle systems (ECU, AUTOSAR, CAN)
- Software-defined vehicle (SDV) architectures
- Understanding of:
- Automotive development lifecycle (ASPICE, V-model)
- Validation and testing processes for vehicle software
- Experience with:
- CI/CD pipelines for large-scale engineering systems
- Containerization (Docker, Kubernetes)
- Strong system design and distributed architecture skills
- Proven experience leading engineering teams (2+ years)
- Experience working across:
- Product engineering
- Manufacturing
- IT / enterprise systems
- Experience in automotive OEMs or Tier 1 suppliers
- Knowledge of:
- ROS (Robot Operating System) for robotics/manufacturing use cases
- Edge computing and IoT systems
- Experience in:
- Developer productivity platforms
- AI governance in regulated environments
Skills Required
- Bachelor's degree in Engineering, Computer Science, or related field
- Minimum 8 years of software engineering experience
- Strong programming skills: Python
- Strong programming skills: C/C++ (embedded systems preferred)
- Strong programming skills: Java/TypeScript
- Experience with cloud platforms
- Hands-on experience with LLMs (OpenAI, Azure OpenAI, etc.)
- Prompt engineering and RAG architectures
- Experience building AI assistants, copilots, or agent-based systems
- Familiarity with LangChain, Semantic Kernel, or similar frameworks
- Experience with vector databases and retrieval systems
- Experience with embedded software or vehicle systems (ECU, AUTOSAR, CAN)
- Experience with software-defined vehicle (SDV) architectures
- Understanding of automotive development lifecycle (ASPICE, V-model) and validation/testing processes
- Experience with CI/CD pipelines for large-scale engineering systems
- Containerization (Docker, Kubernetes)
- Strong system design and distributed architecture skills
- Proven experience leading engineering teams (2+ years)
- Experience working across product engineering, manufacturing, and IT/enterprise systems
- Experience in automotive OEMs or Tier 1 suppliers
- Knowledge of ROS for robotics/manufacturing use cases
- Edge computing and IoT systems experience
- Experience in developer productivity platforms
- Experience with AI governance in regulated environments
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
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The Company
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
