Manager AI Architect

JOB DESCRIPTION Manager – AI Architect / Engineering This role provides strategic leadership and technical oversight in the design and implementation of enterprise-grade AI architecture. The position blends advanced architectural expertise, including cloud-based AI infrastructure (Azure), large language models (LLMs), and scalable machine learning pipelines—with managerial responsibilities such as cross-functional stakeholder management and long-term technology road mapping. The successful candidate will help deliver productionized AI solutions while ensuring alignment with organizational goals, data governance, and security standards. Onsite role. Scope of activities: Design and oversee scalable, secure, and cost-effective AI/ML architecture across the enterprise Define the AI technology stack and select appropriate tools, frameworks, and cloud services Partner with Finance, Purchasing, Manufacturing, Supply Chain, and other business units to align AI initiatives with strategic objectives Steward our AI policy and ensure adherence for both internal and external solutions Lead the development of production-ready AI pipelines, ensuring high availability and performance Establish and enforce best practices for AI ethics, data privacy, and model governance Provide high-level technical mentorship to Senior Analysts and Data Engineers Manage the full lifecycle of AI projects, from conceptualization to deployment and monitoring Evaluate emerging AI technologies (e.g., Generative AI, RAG) for business applicability Direct code and architecture reviews to ensure adherence to enterprise standards Collaborate with IT and Security teams to ensure seamless integration and compliance Collaborate with external service providers to deploy governed solutions for our business partners Credentials and Experience A bachelor’s degree in a technical field and 10 years’ professional experience in Data Architecture with recent experience in AI are required. Strong knowledge of data science libraries (NumPy, pandas, scikit-learn) Experience with data visualization tools (Power BI, Tableau) Experience working with Python Experience leading multiple, concurrent projects Experience with cloud, specifically Microsoft Azure Proficiency in SQL and experience working with databases (SQL Server and Snowflake) Experience with version control systems (Azure DevOps) Excellent problem-solving skills and attention to detail Familiarity with leading global teams in multiple locations Designed and implemented enterprise scale solutions using LLM’s such as GPT, Claude, Gemini Defined reference Architecture of LLM applications including agents and chat bots Manufacturing experience is strongly preferred PRIMARY LOCATION Central Tech Unit Plymouth MI Adient (NYSE: ADNT) is a global leader in automotive seating. With more than 65,000 employees in 29 countries, Adient operates ~200 manufacturing/assembly plants worldwide. We produce and deliver automotive seating for all major OEMs. From complete seating systems to individual components, our expertise spans every step of the automotive seat-making process. We take our products from research and design to engineering and manufacturing — and into millions of vehicles every year. For more information, please visit www.adient.com.