Federal AI Solutions Engineer

About A-TEK

A-TEK is seeking a highly technical Federal AI Solutions Engineer to design, build, and operationalize mission-focused, outcome-driven solutions across AWS and Azure. This role is responsible for building both the cloud platform foundation, and the mission applications that run on it, leveraging LLMs, agentic architectures, automation frameworks, and leading-edge technologies.

In addition to engineering responsibilities, this role serves as a deep technical escalation point for A-TEK’s front-line delivery teams, helping resolve complex issues they encounter with cloud services, AI pipelines, data integration, agent frameworks, and automation.

This position sits at the center of A-TEK’s DigitalShift capability and drives rapid prototyping that can be reused, scaled, and transitioned into government missions.

This role is remote with occasional on-site presence at our federal client sites, therefore only Continental US applicants will be considered. The ability to obtain and retain a public trust clearance is required for this role.

Key Responsibilities

Mission-Focused Pilot Development

• Design, build, and deploy agentic AI pilots that demonstrate measurable mission impact using:
  • Strands, LangChain, LlamaIndex, Semantic Kernel, CrewAI, or equivalent frameworks
  • AWS Bedrock, Azure OpenAI, and multi-LLM orchestration
• Develop end-to-end prototypes integrating:
  • Cloud-native services
  • Federal or enterprise data sources
  • APIs and microservices
  • Enterprise authentication & security controls
• Implement prompting strategies, tool orchestration, reasoning loops, planning/execution agents, and autonomous workflows.

Internal Platform Engineering

• Build, maintain the internal AWS, and Azure environments used for A-TEK’s rapid pilot development:
  • Infrastructure-as-code (Terraform/CDK/Bicep)
  • Container services (ECS, EKS, AKS)
  • Secure networking, identity, and data pipelines
• Develop reusable accelerators, starter kits, templates, and reference architectures.

Technical Escalation & Delivery Support

• Serve as a hands-on SME supporting client-facing teams when they encounter complex technical blockers involving:
  • Cloud migrations
  • AI/ML integration
  • GenAI agent behavior issues
  • Vector databases & RAG pipelines.
  • CI/CD & automation workflows
• Provide architectural guidance and troubleshoot issues across the engineering lifecycle.

Collaboration & Knowledge Sharing

• Work closely with:
  • Cloud, Cyber, Data Intelligence, and Agile Engineering Centers of Excellence
  • Program managers and solution architects.
  • Delivery teams and capture/proposal teams
• Produce internal documentation, patterns, and best practices to continuously expand A-TEK’s technical knowledge base.

Compliance & Governance

• Ensure all pilots and internal platforms adhere to:
  • NIST AI RMF, FedRAMP, Zero Trust principles.
  • Secure coding, privacy, ethical AI, and accessibility guidelines
• Implement logging/monitoring for auditability and responsible AI operations.

Qualifications

Required

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
• 3–5 years of hands-on software development experience (Python preferred; Node.js/Java acceptable)
• Experience building applications on AWS and/or Azure.
• Associate level or higher Solutions Architect certification in AWS or Azure
• Strong understanding of LLM APIs and ecosystems (e.g., OpenAI, Anthropic, AWS) Bedrock, Azure OpenAI
• Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS)
• Ability to design and debug distributed cloud systems and AI-enabled applications.
• Strong communication skills: able to explain complex topics to A-TEK delivery teams, leadership, and partners.

Preferred

• Experience developing agentic AI systems.
• Familiarity with Containers, Serverless, Event-Driven Architecture
• Experience working in or supporting secure federal environments.
• Exposure to MLOps, DevSecOps, or continuous ATO practices
• Prior experience building reusable internal platforms or accelerators.

Compensation

Salary Range: $135,000 – $150,000 annually (commensurate with experience)

• Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities.