AI Solutions Architect: Production ML & Systems

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

Benefits offered by this job

Health coverage

Family building benefit

Generous paid time off

401(k) plan with employer match

Company vehicle lease program

Tuition reimbursement

Volunteer hours

Job summary

Stellantis seeks a Solution Architect to drive AI-based solutions across the PDT organization. You’ll analyze problems, define AI-enabled architectures, and collaborate with product and implementation teams to deliver scalable, production-grade systems.

You’ll design AI components, data pipelines, and deployment patterns while ensuring security and observability, with the chance to work on enterprise-scale regulated environments.

Qualifications

• Minimum a Bachelor's degree in a relevant field.
• 5 years designing and delivering production software systems with defined APIs and scalable architectures.
• 2 years developing or using ML, AI, or data driven solutions.
• Working knowledge of AI/ML system design, data pipelines, deployment patterns, and monitoring.
• Strong data architecture fundamentals and ability to derive data requirements from product needs.
• Experience with cloud infrastructure and secure, observable systems.

Responsibilities

• Propose technical, AI-based solutions for PDT-identified problems or opportunities.
• Create high-level technical architecture proposals with AI components and supporting elements.
• Collaborate with Product Manager, Project Manager, and implementation teams.

Skills

Software architecture

APIs

AI/ML system design

Data pipelines

Cloud infrastructure

CI/CD for ML

Model registry

Feature store

Monitoring & drift detection

Technical documentation

Education

Bachelor's degree

Tools

CI/CD for ML

Model registry

Feature store

Monitoring tools

Job description

Stellantis seeks a Solution Architect to drive AI-based solutions across the PDT organization. You’ll analyze problems, define AI-enabled architectures, and collaborate with product and implementation teams to deliver scalable, production-grade systems.

You’ll design AI components, data pipelines, and deployment patterns while ensuring security and observability, with the chance to work on enterprise-scale regulated environments.