What are the responsibilities and job description for the Manager AI Architect / Engineer position at Adient?
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