The AI Platform & DevSecOps Engineer manages environments, CI/CD pipelines, and security controls to support AI development in federal settings. They are responsible for securing AI workloads, automating infrastructure, and ensuring compliance with federal frameworks like FedRAMP.
The AI Solutions Architect & Tech Lead is responsible for the technical delivery of AI application projects for federal clients, from initial conversation to production release. They will lead cross-functional teams, design generative AI architectures, and ensure adherence to engineering standards and project requirements.
The AI Business Analyst is responsible for eliciting, analyzing, and documenting requirements for AI applications while bridging the gap between federal mission needs and technical implementation. They will manage the requirements lifecycle, including use cases, mockups, and specifications, while ensuring traceability and alignment with AI tooling and user feedback.
The AI Quality & Test Engineer is responsible for defining and executing comprehensive test strategies for AI applications, including unit, integration, and user-acceptance testing. They will build evaluation harnesses for AI behavior, automate tests within CI/CD pipelines, and collaborate with engineers to resolve defects and ensure high-quality releases.
The AI Application Engineer builds and ships generative AI features, including agents, retrieval pipelines, and APIs for federal clients. They practice test-driven development and maintain a clean audit trail while collaborating with cross-functional teams.
