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AI Solutions Architect
Job in
Auburn Hills, Oakland County, Michigan, 48326, USA
Listed on 2026-07-09
Listing for:
Faurecia
Full Time
position Listed on 2026-07-09
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Forvia, a sustainable mobility technology leader, pioneers technology for mobility experiences that matter to people.
Your Mission,Roles and Responsibilities
FORVIA is seeking an AI Solutions Architect to drive the adoption of AI across our North American manufacturing operations. This newly created role will focus on identifying, evaluating, and scaling practical AI solutions that improve quality, productivity, and operational performance. This is not a pure development role. We’re looking for someone who can identify the right AI use cases, evaluate technologies and vendors, recommend scalable solutions, and help move initiatives from proof of concept into production.
WhatYou’ll Do
- Identify and prioritize high-value AI opportunities across manufacturing operations
- Evaluate AI technologies, platforms, and implementation partners
- Design scalable AI solution architectures for manufacturing, engineering, and enterprise use cases
- Lead AI initiatives from concept through deployment and industrialization
- Partner with operations, quality, engineering, IT, and business leaders to deliver measurable results
- Serve as a technical liaison with AI technology providers including Microsoft, NVIDIA, and other solution partners
- Bachelor’s degree in Engineering, Computer Science, Information Technology, Data Science, or a related field
- Experience implementing AI, machine learning, computer vision, or digital transformation solutions in a manufacturing environment
- Strong understanding of AI technologies and their practical business applications
- Experience evaluating vendors, platforms, and technical solutions
- Track record of delivering technology projects from concept through production deployment
- Strong communication and stakeholder management skills
- Manufacturing, automotive, or high-volume industrial experience
- Experience with quality systems, MES, or shop-floor technologies
- Knowledge of cloud platforms, data architecture, and AI deployment practices
- Access to a multicultural environment that values diversity and international collaboration
- Opportunities for professional development through online and in-person training programs
- Commitment to sustainability with a goal of CO2 Net Zero by 2045
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