AI Engineering Lead - GenAI & MLOps

Koitecc Solutions; Milwaukee (WI); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

401k

Paid Time off

Parental Leave

Job summary

Rockwell Automation seeks a Manager, AI Engineering within the ISC AI Center of Excellence. This leader will architect, build, deploy, and sustain production-grade AI solutions across global supply chain operations.

The role owns the technical engineering capability for ISC AI, including solution architecture, GenAI development, and MLOps, working with IT, Analytics, Cybersecurity, Data Governance, and stakeholders in a hybrid Milwaukee office.

Qualifications

• Experience designing GenAI apps with RAG and vector databases.
• 5+ years leading technical teams in enterprise delivery.
• 10+ years in software or AI engineering roles.
• Strong Python, APIs, cloud-native development.

Responsibilities

• Lead ISC AI engineering function including architecture, standards, and production support.
• Define GenAI solution approaches, LLMs, prompt orchestration, and agent-based workflows.
• Ensure AI solutions align with Azure AI platform standards, security, and governance requirements.
• Oversee production reliability, MLOps and LLMOps practices.
• Collaborate with IT, Data Governance, Cybersecurity, Analytics, and platform teams.

Skills

Python

APIs

Azure AI

LLM development

RAG pipelines

Vector databases

Data integration

Workflow automation

DevOps

CI/CD

Monitoring

Cloud engineering

Enterprise software

Education

Bachelor's degree or equivalent

Advanced degree preferred

Tools

Azure OpenAI

GitHub Actions

Azure DevOps

Containerization

SharePoint

Graph API

Power Platform

Microsoft 365

Job description

Rockwell Automation seeks a Manager, AI Engineering within the ISC AI Center of Excellence. This leader will architect, build, deploy, and sustain production-grade AI solutions across global supply chain operations.

The role owns the technical engineering capability for ISC AI, including solution architecture, GenAI development, and MLOps, working with IT, Analytics, Cybersecurity, Data Governance, and stakeholders in a hybrid Milwaukee office.