Technology Manager - AI Platforms

American Electric Power•Columbus, OH

3d•Onsite

About The Position

American Electric Power (AEP) is seeking a Manager of AI Platforms to lead the teams that engineer, operate, and continually improve the enterprise foundation for responsible AI. The role combines technology strategy, platform engineering, operational leadership, and people leadership to ensure AI capabilities are secure, reliable, scalable, and accessible to teams across the company. The manager will define and execute the enterprise AI platform strategy and roadmap, establish platform standards and operating practices, drive reliability and cost effectiveness, manage technology and vendor relationships, and partner across technology and governance organizations. The team will provide reusable services and patterns that help business and technology teams build and deploy AI solutions consistently and efficiently. The position is 100% onsite in Columbus, Ohio. A bachelor’s degree in computer science, engineering, business, or a related technical field is required; an equivalent combination of education and related experience may be considered. Candidates need at least 8 years of technology experience. Four to six years of direct supervision experience is preferred. The salary range is $136,539 to $177,503.

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.
At least 8 years of technology experience.
Strong understanding of modern AI platform architecture and production AI operations.
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.
Strong understanding of cloud architecture, platform reliability, security, identity and access management, monitoring, and operational support.
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.
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.
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 the 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 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 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 to maximize business value.