Technology Manager - AI Platforms
About The Position
The Manager of AI Platforms leads the teams responsible for engineering, operating, and continually improving the enterprise foundation for AI at AEP. The role defines and executes the enterprise AI platform strategy and roadmap and ensures AI capabilities are secure, reliable, scalable, cost-effective, well governed, and accessible to teams across the company. The manager establishes platform standards, architecture patterns, operational practices, and lifecycle processes for AI models, large language models, and agents. The team provides reusable platform services and patterns that help business and technology teams build and deploy AI solutions consistently. The role also manages strategic technology and vendor relationships, platform roadmaps, licensing, costs, and capacity, while partnering with Architecture, Security, Data, Infrastructure, and Governance organizations. This position is 100% onsite in Columbus, Ohio.
Requirements
- Bachelor’s degree in computer science, engineering, business, or a related technical field; an equivalent combination of education and related experience may be considered.
- Eight or more years of technology experience.
- Strong understanding of modern AI platform architecture and production AI operations.
- Strong understanding of cloud architecture, platform reliability, security, identity and access management, monitoring, and operational support.
- Demonstrated ability to work across Architecture, Security, Data, Infrastructure, Governance, and delivery organizations.
- Strong people leadership, communication, and stakeholder-management skills, with the ability to balance strategic direction with practical execution.
Nice To Haves
- Four to six years of direct supervision experience is preferred.
- Experience leading enterprise AI, ML, cloud, or platform engineering teams.
- Experience with AWS Bedrock and AgentCore, Azure AI Foundry, and Microsoft Copilot.
- Experience establishing ModelOps, LLMOps, and AgentOps practices.
- Knowledge of AI gateway technologies and patterns, including platforms such as TrueFoundry, Portkey, and LiteLLM.
- Experience with model access, agent frameworks, orchestration, RAG architectures, observability, and AI lifecycle management.
- Experience defining platform metrics, service-level objectives, capacity strategies, and cost optimization practices.
- Experience evaluating technology vendors, managing platform roadmaps, and influencing vendor direction.
Responsibilities
- Define and execute the enterprise AI platform strategy and roadmap.
- Build and lead a high-performing AI platform engineering and operations team.
- Establish platform standards, architecture patterns, and operational best practices.
- Evaluate emerging AI platform capabilities and determine their fit within the enterprise technology ecosystem.
- Lead engineering, operation, support, and continuous improvement of enterprise AI platforms and foundational services.
- Deliver secure, scalable, governed platform capabilities across cloud and on-premises environments.
- Oversee foundational capabilities including model access, agent frameworks, orchestration, RAG services, AI gateways, and observability.
- Establish service-level objectives, operational metrics, monitoring, and continuous-improvement practices.
- Drive reliability, performance, scalability, and cost optimization across the platform portfolio.
- Establish lifecycle practices for models, large language models, and AI agents, including evaluation, deployment, monitoring, and ongoing management.
- Standardize platform services and operational patterns to help teams move AI solutions from development into production consistently.
- Ensure observability and operational controls are incorporated throughout the AI lifecycle.
- Provide reusable platform services that enable business and technology teams to build and deploy AI solutions rapidly within enterprise standards.
- Partner with Enterprise and AI Architecture, Security, Data, Infrastructure, and Governance teams to support secure and compliant AI adoption.
- Translate enterprise requirements into practical platform controls, standards, and services.
- Manage strategic platform and vendor relationships, technology roadmaps, licensing, and technical evaluations.
- Assess new AI technologies and platform capabilities for enterprise fit and value.
- Manage platform costs and capacity while maximizing business value.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
