Lead Agentic AI Engineer for Supply Chain AI & Operations

Hexion Inc.; Columbus (OH); On-site; USD 100,000 - 130,000; Full time

Job summary

Hexion Inc. is looking for an Engineering Lead to oversee AI delivery across Supply Planning and Manufacturing. The key responsibilities include architecting multi-agent AI systems, deploying generative AI solutions, and mentoring teams on best practices. Candidates should have a strong background in software engineering, experience in AI, and extensive knowledge of supply chain processes.

The role requires solid technical skills and a proven ability to collaborate with diverse teams to drive AI initiatives in a manufacturing environment.

Qualifications

• 5+ years of relevant analytics / AI experience with a Master’s degree, or 8+ years with a Bachelor's degree.
• Strong functional understanding of Supply Planning and/or Manufacturing.
• Strong proficiency in tools like Azure, Power BI, and Databricks.

Responsibilities

• Lead engineering for AI solutions in Supply Planning and Manufacturing.
• Architect multi-agent AI systems and deploy generative AI solutions.
• Mentor analysts and engineers on AI best practices.

Skills

Python engineering skills

Hands-on experience with MCP

Multi-agent system design

Collaboration in cross-functional environments

Education

Master’s degree in Mathematics, Computer Science, Data Science, Information Systems, Engineering, or a related field

Bachelor’s degree in Chemical, Industrial, Computer Science, or related fields

Tools

Azure AI Foundry

Microsoft Power BI

Databricks

Azure AI Agent Service

Job description

Hexion Inc. is looking for an Engineering Lead to oversee AI delivery across Supply Planning and Manufacturing. The key responsibilities include architecting multi-agent AI systems, deploying generative AI solutions, and mentoring teams on best practices. Candidates should have a strong background in software engineering, experience in AI, and extensive knowledge of supply chain processes.

The role requires solid technical skills and a proven ability to collaborate with diverse teams to drive AI initiatives in a manufacturing environment.