Technology Manager - AI Platforms
Company websiteaep.com (American Electric Power (AEP), opens in new tab)
Base salary $136,539 to $177,503
Employer-published annual base salary, USD. Advertised base range in Columbus, OH
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationColumbus, OH
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Job Posting End Date
11-10-2026Please note the job posting will close on the day before the posting end date.
Job Summary
Help Us Power the Future by Building the Enterprise Foundation for AI at AEP!At AEP, we’re building the platforms and technical foundation needed to enable AI responsibly and at scale. We’re looking for a Manager of AI Platforms to lead the teams responsible for engineering, operating, and continually improving that foundation. This role combines technology strategy, platform engineering, operational leadership, and people leadership to ensure enterprise AI capabilities are secure, reliable, scalable, and easy for teams across the company to use.
As the Manager of AI Platforms, you will define and execute the enterprise AI platform strategy and roadmap and lead the teams responsible for delivering and operating foundational AI services. You will establish platform standards and operating practices, drive reliability and cost effectiveness, manage key technology and vendor relationships, and work across technology and governance organizations to ensure AI capabilities are secure and well governed. Your team will provide reusable services and patterns that allow business and technology teams to build and deploy AI solutions more quickly and consistently.
**Please note: This position is 100% onsite in Columbus, OH
Job Description
What you’ll do:
AI Platform Strategy & Leadership
- 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 how they fit within the enterprise technology ecosystem.
Platform Engineering & Operations
- 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 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.
ModelOps, LLMOps & AgentOps
- Establish lifecycle practices for models, large language models, and AI agents, including evaluation, deployment, monitoring, and ongoing management.
- Standardize platform services and operational patterns that help teams move AI solutions from development into production consistently.
- Ensure appropriate observability and operational controls are incorporated throughout the AI lifecycle.
Enterprise Enablement & Governance
- Provide reusable platform services that allow business and technology teams to build and deploy AI solutions rapidly while operating within enterprise standards.
- Partner closely 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.
Technology & Vendor Management
- 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 with a focus on maximizing business value.
What we’re looking for:
Education:
- Bachelor’s degree in computer science, engineering, business, or related technical field is required.
- An equivalent combination of education and related experience may be considered.
Experience:
- In addition to any experience required above, 8 or more years of technology experience; 4-6 years of direct supervision experience preferred.
Preferred & Essential Skills
- 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 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.
- Strong understanding of cloud architecture, platform reliability, security, identity and access management, monitoring, and operational support.
- Experience defining platform metrics, service-level objectives, capacity strategies, and cost optimization practices.
- Experience evaluating technology vendors, managing platform roadmaps, and influencing vendor direction.
- 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.
American Electric Power (On-Site)
#LI-Onsite
#AEPCareers
At AEP, we’re more than just an energy company — we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
Compensation Data
Compensation Grade:
SP20-010Compensation Range:
$136,539.00 - $177,503.00The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
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It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.Source: American Electric Power (AEP) on Workday · View original posting (opens in new tab)
This listingTechnology Manager - AI Platforms$136,539 to $177,503
Engineering Manager- Technology and Automation$136,539 to $177,503
Technology Manager (Software Development)$136,539 to $177,503
Technology Delivery Manager, Data & AI$136,539 to $177,503
Finance Business Partner Sr Mgr$136,539 to $177,503
Financial Analyst Sr Staff$136,539 to $177,503
Digital Platforms & Operational Resilience Mgr$136,539 to $177,503
Chart as a table
| Role | Published base |
|---|---|
| Technology Manager - AI Platforms (this listing) | $136,539 - $177,503 |
| Engineering Manager- Technology and Automation | $136,539 - $177,503 |
| Technology Manager (Software Development) | $136,539 - $177,503 |
| Technology Delivery Manager, Data & AI | $136,539 - $177,503 |
| Finance Business Partner Sr Mgr | $136,539 - $177,503 |
| Financial Analyst Sr Staff | $136,539 - $177,503 |
| Digital Platforms & Operational Resilience Mgr | $136,539 - $177,503 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-20
Where this pay comes from
Location as the employer wrote it: Columbus, OH
$136,539.00 - $177,503.00
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
