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A-TEK Inc.

Federal AI Solutions Engineer

Hybrid - McLean, VA, United States$85k–$105kmidAdded today

About this role

A-TEK seeks an early-career AI Solutions Engineer to design, develop, and deploy AI and cloud solutions for federal clients using AWS and Azure. The role combines AI/ML development with cloud engineering, offering recent graduates the opportunity to work on mission-focused projects under senior mentorship.

What you'll do

  • Design, develop, and deploy AI-powered applications using AWS Bedrock, Azure OpenAI, and frameworks like LangChain and LlamaIndex
  • Build and maintain cloud environments in AWS and Azure, including infrastructure-as-code deployment with Terraform and CDK
  • Develop prompt engineering strategies, RAG workflows, and AI agent capabilities with testing and integration support
  • Support containerized deployments using ECS, EKS, or AKS and participate in CI/CD implementation
  • Collaborate with cross-functional teams on rapid prototyping, technical documentation, and architecture design
  • Ensure solutions comply with NIST AI RMF, FedRAMP, Zero Trust, and secure coding practices

What they're looking for

  • Python programming
  • AWS and Azure cloud platforms
  • Generative AI and large language models
  • LangChain, LlamaIndex, or similar AI frameworks
  • Infrastructure-as-Code tools (Terraform, AWS CDK, Bicep)
  • REST APIs and Git version control
  • Containerization and CI/CD concepts
  • Data pipelines and databases
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A-TEK Inc.

A-TEK Inc. provides technology solutions and system modernization services for federal clients, including audio-visual systems, health IT infrastructure, data analytics, and AI-powered applications. The company is hiring engineers across multiple disciplines—AV, health IT, data engineering, quality assurance, and AI solutions—to support enterprise-scale federal projects.

View all jobs at A-TEK Inc.

Likely interview questions

  • Walk us through a project where you built or deployed an AI application—what frameworks did you use and what challenges did you encounter?
  • Describe your experience with AWS or Azure. Have you used Infrastructure-as-Code tools, and if so, which ones?
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