Technical Trainer For Ai Coding Projects Jobs in Michigan

Job Summary:
Stellantis is a global automotive company seeking an AI Coding Product Leader to define the vision, strategy, and roadmap for coding agent capabilities within their software engineering ecosystem. This role involves overseeing the development of platforms aimed at enhancing developer productivity and software quality, while leading cross-functional teams and managing external partnerships.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related field.
• Minimum 8 years of experience in software engineering, platform engineering, DevOps, AI/ML, or developer tooling.
• Minimum 3 years of experience with AI-assisted development, coding agents, LLM-based systems, or developer productivity platforms.
• Proven experience leading technical teams, platforms, or AI transformation initiatives.
• Experience working in complex global organizations with multiple engineering teams, regions, and stakeholders.
• Strong understanding of large language models, generative AI, coding agents, and AI-assisted software engineering.
• Hands-on or functional experience with tools such as GitHub Copilot, Claude Code, Codex, OpenCode, or similar.
• Good understanding of SDLC, DevOps practices, CI/CD, testing, code quality, and modern software architectures.
• Experience evaluating, deploying, or managing AI coding tools and agentic development capabilities.
• Familiarity with prompt engineering, agent workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development environments.
• Ability to assess AI coding solutions based on productivity, quality, scalability, security, integration, cost, and enterprise readiness.
• Define and execute the vision, strategy, and roadmap for coding agent capabilities across the software engineering ecosystem.
• Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, cost, and risk.
• Lead the evaluation, rollout, adoption, and continuous improvement of AI coding solutions.
• Translate strategic priorities into clear epics, outcomes, adoption plans, and delivery roadmaps.
• Build and structure the team, operating model, and partner ecosystem required to scale coding agent capabilities.
• Drive adoption across engineering communities through onboarding, enablement, communication, and change management.
• Deep understanding of AI-assisted coding workflows, coding agent design patterns, prompt engineering, and code generation optimization.
• Experience implementing AI-driven productivity improvements across development, testing, documentation, code review, and automation workflows.
• Ability to define validation practices for AI-generated code, including testing, quality gates, security checks, and human review.
• Understanding of how coding agents integrate with enterprise platforms such as GitHub, CI/CD, artifact repositories, security tools, and developer portals.
• Strong ability to translate business and engineering problems into AI-enabled software development solutions.
• Experience building ROI-driven business cases for AI adoption, including productivity uplift, cycle-time reduction, quality improvement, and cost optimization.
• Ability to partner with engineering, product, cybersecurity, legal, procurement, finance, operations, and enterprise architecture teams.
• Excellent communication skills for both technical and non-technical audiences, including executive stakeholders.
• Experience coordinating external suppliers and strategic partners to ensure delivery quality, cost control, and alignment with enterprise standards.
• Ability to balance innovation with risk, governance, scalability, cybersecurity, compliance, and enterprise constraints.
• Understanding of responsible AI, data privacy, intellectual property protection, and security considerations related to AI-generated code.
• Experience implementing guardrails for AI-assisted development, including usage policies, security controls, auditability, and compliance requirements.
• Ability to define governance models for coding agents, including onboarding, support, approved tools, monitoring, and escalation processes.
Preferred:
• Experience with enterprise-scale AI transformation initiatives.
• Background in DevOps, platform engineering, cloud engineering, MLOps, or developer experience.
• Knowledge of vector databases, RAG, embeddings, agent frameworks, orchestration frameworks, and AI gateway patterns.
• Experience leading an AI Center of Excellence, developer productivity team, platform team, or engineering transformation initiative.
• Experience with GitHub Enterprise, CI/CD platforms, artifact management, testing automation, software quality platforms, or internal developer platforms.
Company:
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. Founded in 2007, the company is headquartered in Turin, ITA, with a team of 10001+ employees. The company is currently Late Stage.