AI Solutions Architect

Hashlist; Auburn Hills (MI); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive package

High-visibility role

Job summary

Hashlist is seeking a Solution Architect to lead AI-driven platform design within a global automotive OEM program, located in Auburn Hills. You will define scalable, production-grade architectures across data pipelines, ML models, and backend services.

The role emphasizes collaboration with product teams, PMs, and engineers to deliver secure, observable solutions at scale, with a strong focus on governance and cost modelling. This is a permanent role with high visibility.

Qualifications

• 5+ years designing and delivering production software systems.
• 2+ years developing or working with ML, AI, or data-driven solutions.
• Experience with cloud infrastructure, deployment patterns, and secure system design.
• Strong data architecture fundamentals across batch and streaming, modelling, and governance.
• Excellent technical documentation skills.

Responsibilities

• Analyse existing problem descriptions and gather context with the Product Manager.
• Design high-level technical architectures that combine 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.

Skills

Production software design

ML/AI solutions

AI/ML system design

Data architecture

Cloud security & deployment

Technical documentation

LLM architectures (RAG, vectors)

MLOps / ML platform

Enterprise/regulatory knowledge

Cost modelling for AI workloads

Global cross-functional collaboration

Education

Degree in engineering or science

Job description

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) organization. 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: Auburn Hills
• Contract type: Permanent via EOR or freelance
• Benefits: Competitive package; high-visibility role within a major AI transformation program

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 skills
• Experience 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

Next Stpes

• If qualified, you'll be accepted into the Hashlist network and considered for this and other relevant projects