Federal AI Solutions Engineer

Empower, Innovate, Impact! 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 our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients’ needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

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.

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.

For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.

Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.

A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.