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 Backend Data Validation and Performance Test Engineer will validate large-scale backend data systems to ensure accuracy, integrity, and high performance. They will collaborate with cross-functional teams to execute performance benchmarking, query optimization, and end-to-end data alignment across CMS enterprise applications.
The LLM Specialist will lead the design, development, and operationalization of advanced large-language-model capabilities within a cloud-based analytics ecosystem. This role involves driving innovation in AI architecture, fine-tuning, and RAG implementation while ensuring robust governance and security across all deployments.
The specialist will architect, develop, and operationalize next-generation agentic systems powered by advanced LLMs and Model Context Protocol frameworks. This role involves building intelligent, multi-step, tool-using agents that autonomously reason, plan, and execute complex workflows within a cloud-based analytics ecosystem.
The engineer will partner with development teams to implement secure engineering patterns, maintain CI/CD pipelines, and remediate vulnerabilities. They are also responsible for designing security gates, supporting Kubernetes security, and ensuring compliance with federal security frameworks.
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.
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.
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 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 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.
