Columbus Onsite AI Platform Manager: Enterprise LLM & Ops

AEP Service Corporation; Columbus (OH); On-site; USD 137,000 - 178,000; Full time

Job summary

AEP Service Corporation in Columbus, Ohio is seeking a Manager of AI Platforms to define and execute the enterprise AI platform strategy, lead a platform engineering and operations team, and establish standards for reliability and governance.

The role covers model lifecycle governance (ModelOps, LLMOps, AgentOps), cloud and on-prem infrastructure, cost optimization, and close collaboration with Architecture, Security, Data, and Governance teams to ensure secure and compliant AI adoption.

Qualifications

• 8+ years of technology experience; 4–6 years of leadership preferred.
• Experience leading enterprise AI, ML, cloud, or platform engineering teams.
• Strong understanding of modern AI platform architecture and production AI operations.
• Experience with AWS Bedrock, Azure AI Foundry, and Microsoft Copilot.

Responsibilities

• Define and execute the enterprise AI platform strategy and roadmap.
• Lead the AI platform engineering and operations team.
• Establish platform standards, architecture patterns, and operational best practices.
• Drive reliability, cost optimization, and governance across the platform portfolio.
• Oversee ModelOps, LLMOps, and AgentOps lifecycle management.

Skills

AI Platform

Cloud architecture

ModelOps

LLMOps

AgentOps

Vendor management

Team leadership

Security & IAM

Observability

SLAs/metrics

Education

Bachelor's degree

Tools

AWS Bedrock

Azure AI Foundry

Microsoft Copilot

TrueFoundry

Portkey

LiteLLM

Job description

AEP Service Corporation in Columbus, Ohio is seeking a Manager of AI Platforms to define and execute the enterprise AI platform strategy, lead a platform engineering and operations team, and establish standards for reliability and governance.

The role covers model lifecycle governance (ModelOps, LLMOps, AgentOps), cloud and on-prem infrastructure, cost optimization, and close collaboration with Architecture, Security, Data, and Governance teams to ensure secure and compliant AI adoption.