AI Cloud Infrastructure Lead — AWS & On-Prem

AEP

Gahanna (OH)

On-site

USD 137,000 - 178,000

Full time

5 days ago
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Benefits offered by this job

Base salary
Annual bonus
Long-term incentive
401(k) match
Pension
Benefits package

Job summary

AEP is seeking an Infrastructure Engineer Lead for Cloud AI in Gahanna, OH. The role builds secure, scalable AI infrastructure across AWS and on-premises environments, focusing on cloud foundations, networking, containers, identity, cost management and observability.

The ideal candidate has extensive AWS and Kubernetes expertise, strong networking and security fundamentals, and experience with FinOps and on-premises edge deployments. Leadership and collaboration with multiple teams are required.

Qualifications

  • Hands-on AWS engineering, IAM, VPC networking, compute and storage.
  • Experience with cloud security, monitoring and cost management for AI workloads.

Responsibilities

  • Design, build and maintain AWS account structure, landing zones and reference patterns for AI workloads.
  • Engineer compute, storage and networking foundations for AI workloads, incl. GPU instances and data access.
  • Build IaC modules, templates and pipelines for rapid AI deployments within guardrails.
  • Develop and operate on-prem AI infrastructure for edge or disconnected environments.

Skills

AWS IAM
VPC networking
Kubernetes
Networking fundamentals
API gateways
Terraform
CI/CD pipelines
Cloud security
Monitoring
FinOps
Amazon EKS
ROSA/OpenShift

Education

Bachelor's degree in CS or related field

Tools

Amazon EKS
ROSA/OpenShift
Terraform

Job description

AEP is seeking an Infrastructure Engineer Lead for Cloud AI in Gahanna, OH. The role builds secure, scalable AI infrastructure across AWS and on-premises environments, focusing on cloud foundations, networking, containers, identity, cost management and observability.

The ideal candidate has extensive AWS and Kubernetes expertise, strong networking and security fundamentals, and experience with FinOps and on-premises edge deployments. Leadership and collaboration with multiple teams are required.

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