The engineer will architect, design, and build web application features while collaborating with cross-functional teams to maintain enterprise data platforms. They are responsible for developing user-facing components, optimizing data models, and ensuring the performance and scalability of back-end APIs.
The specialist is responsible for analyzing learning needs and developing training materials to build capability across the FPS2 program. They will deliver engaging learning experiences while utilizing instructional design expertise to improve performance and support strategic objectives.
The specialist will architect, develop, and operationalize next-generation agentic systems using advanced LLMs and Model Context Protocol frameworks. They will provide technical leadership to build intelligent, multi-step, tool-using agents that autonomously reason and execute complex workflows.
Establish and lead engineering operations standards, including CI/CD, release governance, and DevSecOps practices for a large-scale federal data modernization program. Partner with stakeholders to ensure cloud platforms remain reliable, secure, observable, and cost-transparent.
Lead the product roadmap, prioritization, and governance for a large-scale federal data and analytics modernization program. Translate product vision into actionable user stories and outcome-oriented roadmaps while aligning stakeholders and user communities.
Lead the scaled agile delivery model for a large-scale federal data and analytics modernization program, coordinating PI Planning and sprint cadences. Ensure delivery transparency by managing risks, dependencies, and performance metrics across multidisciplinary teams.
Lead the execution of data strategy, supply chain operations, and metadata maturity for a large-scale federal modernization program. Ensure data assets are governed, discoverable, and quality-controlled to support self-service analytics and responsible AI expansion.
Lead the reference architecture, technical standards, and governance for a large-scale federal data and analytics modernization program. Coordinate across multiple technical teams and stakeholders to ensure secure, scalable, and transparent architectural decisions.
Provide executive leadership and accountability for a large-scale federal data and analytics modernization program. Manage strategic alignment, budget governance, and a multi-team delivery model to sustain production operations and drive long-term modernization.
Lead the design, development, and operationalization of advanced LLM capabilities and AI architecture within a cloud-based analytics ecosystem. Drive innovation in RAG, agentic frameworks, and model adaptation while ensuring robust governance and security.
