AI Cloud Engineer: GPU Kubernetes & AI Infra

Accenture

Hill Air Force Base (UT)

On-site

USD 106,000 - 206,000

Full time

4 days ago
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Job summary

Accenture Federal Services is seeking an AI/ML Infrastructure Engineer to build and operate GPU-enabled Kubernetes infrastructure for AI/ML training and inference, while supporting data lake and streaming analytics during pipeline execution.

You will implement infrastructure as code, monitor pipelines, and collaborate with Agile cross-functional teams to deliver secure, scalable AI capabilities for federal missions.

Qualifications

  • 4 years of cloud engineering or infrastructure experience.
  • Kubernetes knowledge including GPU-enabled node pools.
  • Familiarity with data lake and/or streaming analytics concepts.
  • Familiarity with Zero Trust Architecture (NIST 800-207).
  • Experience with Terraform, Ansible, or CloudFormation.
  • Scripting in Python, Bash, or PowerShell.

Responsibilities

  • Build and operate GPU-enabled Kubernetes infrastructure for AI/ML workloads.
  • Support data lake and streaming analytics infrastructure for AI/ML pipelines.
  • Support model registry and model-serving infrastructure for AI/ML platforms.
  • Implement Infrastructure as Code for AI/ML components (Terraform, Ansible).
  • Monitor, troubleshoot, and optimize GPU compute and data pipelines.
  • Collaborate with data platform and AI/ML teams; participate in CI/CD workflows.
  • Document decisions, runbooks, and operational procedures; support Agile ceremonies.

Skills

Cloud engineering
Kubernetes
Data lake analytics
Zero Trust Architecture
Infrastructure as Code
Scripting languages

Education

Bachelor's degree

Job description

Accenture Federal Services is seeking an AI/ML Infrastructure Engineer to build and operate GPU-enabled Kubernetes infrastructure for AI/ML training and inference, while supporting data lake and streaming analytics during pipeline execution.

You will implement infrastructure as code, monitor pipelines, and collaborate with Agile cross-functional teams to deliver secure, scalable AI capabilities for federal missions.

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