Agentic AI Engineer (Active TS/SCI Clearance)
About The Position
Strategic Business Systems (SBS) is expanding its AWS Professional Services team to support a high-priority, mission-critical national security program. We’ve already begun standing up core infrastructure and are now scaling the team to deliver additional capabilities in a fast-moving, high-visibility environment. This is a hands-on role where you’ll work directly with AWS teams and customer stakeholders to design, build, and deploy secure, scalable solutions. The work supports critical national security objectives and spans AI-driven applications, foundational cloud infrastructure, and secure data movement across classification boundaries. You’ll contribute to building AWS environments in classified regions, enabling agent-based AI workflows, and supporting cross-domain data pipelines that move data securely between networks. If you enjoy building real systems, solving hard problems, and working on efforts that have direct impact, this is a strong fit.
Requirements
- Strong development background (Python, Java, or similar)
- Experience building applications in AWS
- Familiarity with serverless architectures (Lambda, Step Functions)
- Experience with CI/CD pipelines and modern development practices
- Experience or exposure to LLM-based systems (RAG, prompt engineering, context handling)
- Familiarity with agent frameworks (Bedrock Agents, Strands, or similar)
- Understanding of federated data integration patterns
- Experience or exposure to building AWS environments from the ground up
- Understanding of multi-account architectures, IAM, VPC design, and guardrails
- Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.)
- Experience or familiarity with Cross Domain Solutions (CDS) or secure data transfer systems
- Understanding of low-to-high data flow constraints and validation requirements
- Working knowledge of OpenSearch or similar platforms
- Basic understanding of SQL, Lucene, or similar query languages
- Experience with ABAC or modern access control models
- Comfortable working in secure, regulated environments
- U.S. Citizenship required
- Active Top Secret/SCI clearance required
Nice To Haves
- Exposure to AWS GovCloud or classified regions
- Exposure to data diode architectures or guard technologies
Responsibilities
- Design, build, and deploy cloud-native applications in AWS
- Develop agent-based AI workflows for federated data environments
- Build serverless architectures using AWS Lambda, Step Functions, and APIs
- Support the design and implementation of AWS Landing Zones in classified regions, including account structure, IAM, networking, and guardrails
- Implement secure data access patterns across distributed systems
- Design and integrate cross-domain (low-to-high) data pipelines into AWS environments
- Work with CDS/diode technologies to enable secure data transfer across classification boundaries
- Integrate data pipelines with AWS services (S3, OpenSearch, etc.) and enterprise systems
- Participate in architecture discussions and technical decision-making
- Evaluate and improve LLM-driven workflows in operational environments
Benefits
- Works directly with AWS on meaningful, mission-driven programs
- Operates in high-impact national security environments
- Builds across AI, cloud infrastructure, and secure data movement
- Values engineers who can execute and deliver
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
11-50 employees
