Federal AI Solutions Engineer

A-TEK Inc.

5h • $135,000 - $150,000 • Hybrid

About The Position

At Team A-TEK, we empower people to drive innovation that impacts mission. A-TEK operates at the intersection of mission and innovation by applying deep domain expertise across the federal markets, embracing a digital-first strategy. A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services, designed to modernize, automate, secure, protect, and enhance the operations of federal clients. The company 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 involves building both the cloud platform foundation and the mission applications that run on it, leveraging LLMs, agentic architectures, automation frameworks, and leading-edge technologies. Additionally, this role serves as a deep technical escalation point for A-TEK’s front-line delivery teams, helping resolve complex issues with cloud services, AI pipelines, data integration, agent frameworks, and automation. This position is central to A-TEK’s DigitalShift capability, driving rapid prototyping that can be reused, scaled, and transitioned into government missions. The role is remote with occasional on-site presence at federal client sites, requiring Continental US applicants and the ability to obtain and retain a public trust clearance.

Requirements

• 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
• Ability to obtain and retain a public trust clearance

Nice To Haves

• 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

Responsibilities

• Design, build, and deploy agentic AI pilots that demonstrate measurable mission impact using Strands, LangChain, LlamaIndex, Semantic Kernel, CrewAI, or equivalent frameworks
• Utilize 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, and enterprise authentication & security controls
• Implement prompting strategies, tool orchestration, reasoning loops, planning/execution agents, and autonomous workflows
• Build, maintain the internal AWS, and Azure environments used for A-TEK’s rapid pilot development
• Utilize Infrastructure-as-code (Terraform/CDK/Bicep) and Container services (ECS, EKS, AKS)
• Ensure secure networking, identity, and data pipelines
• Develop reusable accelerators, starter kits, templates, and reference architectures
• 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, and CI/CD & automation workflows
• Provide architectural guidance and troubleshoot issues across the engineering lifecycle
• Work closely with Cloud, Cyber, Data Intelligence, and Agile Engineering Centers of Excellence, program managers, solution architects, delivery teams, and capture/proposal teams
• Produce internal documentation, patterns, and best practices to continuously expand A-TEK’s technical knowledge base
• 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

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) with employer match
• Paid time off
• Professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees