Advanced AI Architect

American Electric Power (AEP)

Quick summary

Work type
On-site
Location
Aep Headquarters
Salary
$136,539–$177,503 / yr
Posted
18 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $157k
$122k most similar roles pay here $271k

This role pays less than 84% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $157k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About American Electric Power (AEP)

American Electric Power (AEP) is one of the largest electric utilities in the United States, delivering electricity to customers across 11 states through an extensive transmission and distribution network. Industry: Electric Utilities

American Electric Power (AEP) currently has 26 open roles on FindRole.

Listed pay typically runs $87,633–$109,544 across 22 roles with salary data.

Most-posted roles

View all roles at American Electric Power (AEP)

At a glance

TL;DR · Advanced AI Architect

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As an Advanced AI Architect at American Electric Power’s AI Solutions & Enablement team, you will lead the technical direction and architecture for a scalable and responsible enterprise AI foundation. Your role involves defining reference architectures, setting lightweight practices, and building prototypes to validate decisions and accelerate adoption. You’ll work on evolving internal AI platforms like Azure AI Foundry and AWS Bedrock, standardizing reusable patterns, and creating templates to streamline development processes. Additionally, you will ensure production readiness through CI/CD pipelines using tools such as GitHub Actions and Terraform, while embedding security and governance fundamentals into your designs. This senior individual contributor role requires hands-on experience with MLOps, cloud AI platforms, and a strong background in responsible AI governance.

Skills

Azure AWS GitHub Actions Terraform MLflow Helm Argo CI/CD MLOps DevOps OpenShift Azure AI Foundry Azure ML Azure OpenAI AWS Bedrock Kubernetes Python PostgreSQL Prometheus Grafana

What you'll do

  • Define AI/ML and GenAI reference architectures and components.
  • Translate business needs into scalable, secure designs for teams to implement.
  • Build prototypes and reference implementations to validate decisions and reduce risk.
  • Evolve internal AI platforms and dev environments to streamline build-to-deploy processes.
  • Embed observability, reliability, and cost controls into production operations standards.
  • Automate responsible AI controls and embed security fundamentals into patterns.

What we're looking for

  • 10 years of relevant AI/ML and GenAI architecture experience required.
  • Design enterprise-level AI reference architectures and scalable solution patterns.
  • Strong hands-on MLOps knowledge with CI/CD and IaC expertise.
  • Experience enabling cloud AI platforms like Azure AI Foundry/OpenAI or AWS Bedrock.
  • Translate responsible AI standards into practical engineering guardrails and controls.
  • Provide technical guidance to vendors, ensuring quality outcomes and risk mitigation.

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