Manager, AI Engineering

Rockwell Automation

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Milwaukee, WI
Employment
Full-time
Posted
97 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $219k
$151k $274k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,362–$261,000.

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Employer

About Rockwell Automation

Rockwell Automation, Inc. is a global leader in industrial automation and digital transformation.

Rockwell Automation currently has 22 open roles on FindRole.

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At a glance

TL;DR · Manager, AI Engineering

The Manager, AI Engineering joins the Integrated Supply Chain AI Center of Excellence to lead a team of AI Engineers in architecting, building, and sustaining production-grade AI solutions. This role owns the technical engineering capability for global supply chain operations, focusing on solution architecture, engineering standards, and GenAI application development. Key responsibilities include developing RAG pipelines, prompt orchestration, agent-based workflows, and document intelligence while ensuring production reliability through MLOps and LLMOps practices. The position requires expertise in Python, APIs, Azure AI, vector databases, and data integration. Candidates must integrate these solutions with Microsoft 365, SharePoint, Graph API, and Power Platform. The work involves solving complex supply chain problems by converting prioritized use cases into secure, scalable, and maintainable enterprise AI applications.

What you'll do

  • Lead the ISC AI engineering function by defining technical architecture, engineering standards, and development practices.
  • Define solution approaches for GenAI applications, including LLMs, RAG pipelines, and agent-based workflows.
  • Manage and coach a team of AI Engineers to build and support production-grade AI solutions.
  • Oversee the design and development of AI applications integrated with enterprise data sources and Microsoft 365.
  • Establish CI/CD, automated testing, and MLOps/LLMOps practices for production AI reliability and monitoring.
  • Partner with AI Delivery to assess technical feasibility, estimate engineering effort, and shape solution scope.
  • Coordinate with Cybersecurity, Data Governance, and IT teams to resolve architecture and compliance dependencies.
  • Monitor production AI solutions for performance, cost, security risks, and continuous improvement opportunities.

What we're looking for

  • Bachelor's Degree or equivalent years of relevant work experience.
  • Legal authorization to work in the U.S.
  • Minimum of 5 years management experience (preferred).
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or equivalent practical experience (preferred).
  • 10+ years of experience in software engineering, AI engineering, ML engineering, data engineering, cloud engineering, or related technical roles (preferred).
  • 5+ years of experience leading technical teams, engineering programs, or complex technology delivery in a matrixed enterprise environment (preferred).
  • Strong technical background in Python, APIs, cloud-native development, data integration, automation, and production software engineering (preferred).
  • Experience designing, deploying, and supporting AI, ML, GenAI, LLM, automation, or advanced analytics solutions in production environments (preferred).

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