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AI Solutions Architect

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  • US
    Auburn Hills, Michigan, United States
  • US
    Auburn Hills, Michigan, United States

Über

We're looking for a Solution Architect to join a forward-thinking AI Solutions programme within a major global automotive OEM. The role sits at the heart of a large-scale AI transformation effort — responsible for proposing and designing technical, AI-based solutions across a broad Product Development and Technology (PDT) organisation. The mission is clear: improve efficiency, speed, inventiveness, and quality by applying production-grade AI at scale, adapted to the people who use it every day.
Location: TBC Contract type: Permanent or freelance Benefits: Competitive package; high-visibility role within a major AI transformation programme
Responsibilities
Analyse existing problem descriptions and product requirements, gathering additional context where needed in collaboration with the Product Manager Design high-level technical architectures that bring together AI components, front end, back end, infrastructure, data pipelines, and neural network models into cohesive solutions Define service boundaries, APIs, and scalable system architectures suited to enterprise-scale environments Translate product needs into clear data requirements and architecture decisions Produce technical documentation including architecture diagrams, tradeoff analyses, and decision records Work in close collaboration with Product Managers, Project Managers, and technical implementation teams Ensure solutions are production-grade, observable, secure, and trustworthy at scale
Qualifications
5+ years designing and delivering production software systems 2+ years developing or working with 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 across batch and streaming, modelling, and governance Experience with cloud infrastructure, deployment patterns, and secure system design Excellent technical documentation skillsExperience architecting production LLM applications — RAG, vector search, tool calling, agents — is a strong plus Hands-on MLOps or ML platform experience is advantageous Background in enterprise-scale or regulated environments is beneficial Strong cost modelling skills for AI workloads is a plus Degree in an engineering or science field preferred Ability to work across global, cross-functional teams and build alignment
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  • Auburn Hills, Michigan, United States

Sprachkenntnisse

  • English
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