Lead design and development of agentic AI workflows, agents, and MCP servers using the framework (e.g. Strands, CrewAI, LangGraph) to support orchestration, generative multi-step reasoning, tool usage, and system interactions
Implement and manage Model Context Protocol (MCP) servers and clients to enable secure, standardized access to ATIS data sources, APIs, and AWS native services
Understand and work with AWS Bedrock for Knowledge Bases, Agents, Agent Groups, Guardrails, etc.
Build AI agents that integrate with ATIS applications (e.g., ATIS Portal, ATMC, ATIS Learning, RFMSS, TS-MATS) to orchestrate workflows, interact with MCPs and APIs, interact with LLMs, interact with structure data, and support decision-making
Design and maintain secure API integrations between AI agents and AWS GovCloud services, databases, and microservices
Collaborate with Product Owners, System Architects, UX, and Cybersecurity to translate mission needs into scalable AI-enabled capabilities
Implement guardrails, validation layers, and audit logging to ensure AI behavior is predictable, secure, and compliant with DoD requirements
Integrate agentic workflows into CI/CD pipelines using GitLab and infrastructure-as-code tools (e.g., CloudFormation, Terraform)
Support DevSecOps, IATT, and ATO activities by producing technical documentation, architecture diagrams, and security artifacts related to AI components
Optimize performance, reliability, and cost of AI services in AWS GovCloud environments
Mentor junior developers and contribute to platform-wide AI and automation strategy.

Requirements

Active Secret security clearance
Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field
5+ years of professional software development experience, with at least 2+ years working with AI/ML, automation, or intelligent systems
Hands-on experience building agentic AI systems, autonomous workflows, or complex orchestration pipelines
Demonstrated experience with Python and modern AI frameworks (e.g., OpenAI, LangChain, LlamaIndex, or similar)
Experience designing and consuming RESTful APIs and working with structured/unstructured data sources
Experience working in cloud environments (AWS preferred), including secure networking, IAM, and service integration
Familiarity with CI/CD pipelines, Git-based workflows, and DevSecOps practices
Experience supporting secure or regulated environments (DoD, federal, or enterprise security controls)
Active DoDI 8140-compliant certification (e.g., Security+, CISSP, CISM) or ability to obtain.

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI frameworksRESTful APIsagentic AI systemsautomationorchestration pipelinesAWSCloudFormationTerraformDevSecOps

Soft Skills

collaborationmentoringcommunicationproblem-solvingleadership

Certifications

Active Secret security clearanceBachelor’s degreeDoDI 8140-compliant certificationSecurity+CISSPCISM