Manager AI Architect

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