Solution Architect

Stellantis • Auburn Hills, MI

4d

About The Position

This role is on the “PDT AI Solutions Program Team”. The team is responsible for spreading and managing efforts to apply AI-based technologies across the Product Development and Technology (PDT) organization. The vision for this team is to transform the large PDT organization into one where everybody, from engineers to executives, is daily using best relevant AI technology to move faster, do more, and delight customers, and where the AI is production-grade, at scale, trustworthy, and adapted to Stellantis people. To achieve this vision, the team's mission is to improve PDT efficiency, speed, inventiveness, and quality, as well as Stellantis customer satisfaction, by setting-up and maintaining projects for shared tools and resources to allow PDT teams to build their own AI-based applications and processes, as well as projects for turn-key AI-based applications and processes for PDT teams that don’t have the resources to build their own, while taking advantage of the latest AI tech adapted to our people.

Requirements

• A minimum of a Bachelors degree
• 5 years designing and delivering production software systems; proven ability to define service boundaries, APIs, and scalable architectures.
• 2 years developing or using ML, AI, or data driven solutions.
• Working knowledge of AI/ML system design, including data pipelines, deployment patterns, and operational monitoring.
• Strong data architecture fundamentals (batch/streaming, modeling, governance) and ability to derive data requirements from product needs.
• Experience with cloud infrastructure and deployment patterns; ability to design secure, observable systems.
• Excellent technical documentation skills: architecture diagrams, tradeoff analysis, and decision records.

Nice To Haves

• Experience architecting and delivering production LLM applications (RAG, vector search, tool calling/agents), including evaluation and guardrails.
• Hands-on MLOps/platform experience (CI/CD for ML, model registry, feature store, monitoring & drift detection).
• Experience in enterprise-scale, regulated environments and/or implementing responsible AI controls and auditability.
• Strong cost modeling skills for AI workloads (GPU serving, token cost optimization, capacity planning).
• A degree in an engineering field (e.g. computer, software, machine learning, intelligent systems, control systems, mechatronics, systems, mechanical engineering…) or a science field (e.g. physics, mathematics, …)
• Ability to work across teams.
• Ability to build agreement.
• Experience working with global teams.

Responsibilities

• Proposes technical, AI-based solutions for problems or opportunities identified across PDT.
• Analyzes existing descriptions of problems or needs where AI-based development can help (e.g., from a Product Requirements Document - PRD), and gathers additional understanding, extending the PRD as needed in collaboration with the Product Manager.
• Creates a proposal for a high-level technical architecture (primarily software architecture, but may include other components like manual steps) to best solve a defined problem, consisting of AI components and any other necessary components (front end, back end, infrastructure, data pipelines, neural network models, data, etc.).
• Works in collaboration with the Product Manager, a Project Manager, and technical implementation teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior