AI Engineer, Lead

Join a culture of empowerment and connectivity.

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Build mission-ready tech that protects the nation.

Organizations need experienced application developers who can transform complex requirements into reliable, mission-ready software. Today’s modern applications increasingly combine cloud-native development, automation, and artificial intelligence (AI) to solve challenging operational and mission problems. As a lead Application Developer, you know how to move from an initial concept to a production-ready solution. We’re looking for an experienced developer like you to build innovative software capabilities for national security.

As a lead Application Developer on our team, you’ll design, develop, test, and deploy applications that incorporate AI, automation, and modern cloud technologies. You’ll work in an environment where requirements may be evolving or incomplete, using your technical judgment to define practical solutions and make progress independently.

You’ll own multiple features and capabilities end to end—from technical design and architecture through implementation, testing, deployment, and operational support. You’ll collaborate with architects, engineers, mission partners, and stakeholders to turn ideas into working systems while helping establish sound development practices and reusable technical patterns.

With your ability to lead through ambiguity and deliver high-quality software, you’ll make a lasting impact on mission.

Join us. The world can’t wait.

• 8+ years of experience designing, developing, testing, and deploying production software applications
• Experience building production AI applications using agentic frameworks such as Lang Chain, Lang Graph, AWS Bedrock Agents, or CrewAI
• Experience owning application features end to end, from requirements clarification and technical design through implementation, testing, deployment, and operational support
• Experience designing and developing APIs, services, integrations, and event-driven applications
• Experience with professional development practices, including Git, code reviews, automated testing, debugging, documentation, dependency management, and CI/CD pipelines using Git Hub Actions, Git Lab CI/CD, or Jenkins
• Experience developing and deploying containerized applications in cloud environments using platforms such as Docker or Kubernetes
• Ability to operate independently in ambiguous environments, translate incomplete or evolving requirements into practical technical solutions, and communicate technical decisions clearly
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree in Computer Science, Engineering, or Information Technology

• Experience implementing AI application patterns such as tool use, retrieval-augmented generation, structured outputs, workflow orchestration, and agent evaluation
• Experience with emerging AI protocols, including Model Context Protocol, Agent-to-Agent, or similar technologies
• Experience with AWS, Microsoft Azure, Google Cloud, or other enterprise cloud platforms
• Experience with Infrastructure-as-Code tools such as Terraform, Cloud Formation, Pulumi, or similar technologies
• Experience with Git Ops and declarative application delivery using Argo CD, Flux, or similar tools
• Experience with relational and No
  
  SQL databases, caching technologies, message queues, or streaming platforms
• Experience using observability tools for logging, monitoring, tracing, performance analysis, and application troubleshooting
• Experience supporting applications in federal, Department of Defense, or…