Senior Cloud Engineer (AI/ML & Secure Gov Cloud)

Devopsroles; Chantilly (VA); Hybrid; USD 113,000 - 188,000; Full time

Job summary

Accenture Federal Services is seeking a Senior Cloud Engineer (AI Integration) to design secure, scalable cloud environments for AI/ML workloads. You will optimize distributed model training, high-performance compute, and low-latency inference while enhancing automation and secure cloud operations.

You will automate with IaC tools, integrate public clouds with on-prem systems, and support mission-critical AI applications with strong cross-team collaboration and security focus.

Qualifications

• Bachelor's degree required.
• 8+ years in cloud engineering or related roles.
• Hands-on with AWS, Azure, GCP.
• Knowledge of AI/ML compute environments and HPC.

Responsibilities

• Design cloud architectures for AI/ML workloads.
• Automate infrastructure with DevSecOps and IaC.
• Integrate cloud with on-prem systems and accelerators.
• Ensure secure, high-availability operations for AI apps.
• Manage container orchestration and multi-tenant setups.
• Implement data and model governance for AI pipelines.

Skills

Cloud engineering

DevSecOps

Cross-team collaboration

Python / .NET

Education

Bachelor's degree

Tools

Terraform

Ansible

Kubernetes

OpenShift

CloudFormation

Job description

Accenture Federal Services is seeking a Senior Cloud Engineer (AI Integration) to design secure, scalable cloud environments for AI/ML workloads. You will optimize distributed model training, high-performance compute, and low-latency inference while enhancing automation and secure cloud operations.

You will automate with IaC tools, integrate public clouds with on-prem systems, and support mission-critical AI applications with strong cross-team collaboration and security focus.