Design, build, and deploy multi-agent AI workflows for triage, data retrieval, and reporting while managing client-facing support desk operations. Partner with process owners to translate requirements into functional systems and ensure reliability in production environments.
Lead and scale the engineering organization by managing leadership teams, defining engineering culture, and overseeing hiring and workforce development. Partner with product leadership to ensure predictable delivery while maintaining high standards for security, quality, and technical architecture.
Own and deliver end-to-end product features across data models, services, APIs, and user interfaces, including real-time agent output and interfaces for evolving knowledge structures. Make results explainable and reliable through provenance, robust service contracts, quality standards, and mentorship of junior engineers.
Lead and grow the software and research engineering team responsible for Orbis AI products, owning delivery commitments and guiding the transition from applied research to deployed capabilities. Set engineering standards and architecture across cloud, on-premises, and edge environments while ensuring products meet requirements for accuracy, security, explainability, and reliability.
Frame research questions based on product and mission needs, build prototypes, and conduct reproducible experiments with rigorous evaluation and honest error analysis. Communicate findings and recommendations, transition validated research into production, and contribute to the scientific community through publications, open-source work, and academic collaborations.
You will architect and ship agentic systems, including orchestration, planning, retrieval, and tool-use machinery. You are also responsible for owning the evaluation infrastructure to ensure accuracy, groundedness, and cost-efficiency across the agent portfolio.
The AI Agent Engineer designs, builds, and deploys multi-agent AI workflows for triage, data retrieval, and reporting while managing the underlying cloud infrastructure. This role also involves owning the cloud footprint across GCP, Azure, and Cloudflare, ensuring security, cost-efficiency, and reliable deployment paths.
The MOE Officer will lead qualitative research and program evaluation activities to optimize the delivery of specialized projects for the US Intelligence Community. Responsibilities include designing research strategies, conducting data analysis, and briefing senior leadership on findings and recommendations.
Lead full-lifecycle integration delivery for data sources, including requirements analysis, connector design, and deployment in target environments. Conduct customer technical discovery to map network topology and system dependencies while mentoring integration engineers.
