Artificial Intelligence

• Define and drive Think of Us’s data strategy and roadmap, anchored on the Lived Experience Engine.
• Direct the architecture of the Databricks data lake, including tiering, data model evolution, and standards.
• Set standards for data quality, governance, and platform reliability.
• Translate organizational priorities into data investments and team structure.
• Build evaluation frameworks using LangFuse and custom tools for AI pipelines and agents.
• Own decisions regarding RAG architecture, agent grounding, retrieval quality, and future ML capabilities.
• Define the boundary between the data team and Applied AI Engineering for evaluations and AI data infrastructure.
• Build and maintain data governance and HIPAA-adjacent compliance standards.
• Own data access controls, privacy policies, and the ethical framework for lived-experience data.
• Ensure sensitive PII handling meets legal and ethical standards.
• Directly manage the data team and grow it over time.
• Build the processes, culture, and norms of the data function.
• Work hands-on as an individual contributor for the first 6–12 months.
• Provide architectural feedback on Databricks gold-layer models.
• Design evaluation frameworks for the ConnectMe AI pipeline and define quality standards for human-vetted output.
• Translate research questions into data roadmap priorities with program leadership.
• Review AI pipeline outputs for accuracy and equity across demographic groups.
• Assess evaluations and determine what is ready to ship, needs iteration, or should be briefed to Product.
• Draft data access policies for lived-experience narratives.
• Partner with executive leadership, Engineering, Product, Design, Program, and Policy leaders on technical direction and data-informed decisions.

Director of Data, AI

• Partner with a Project Officer to design, execute, and manage complex R&D programs
• Help shape strategy, define technical direction, and operationalize programs from concept through execution
• Provide feedback on diagnostics development approaches, research and development plans, and regulatory and clinical strategies
• Participate in market research efforts
• Conduct literature, market, and stakeholder landscape analyses to identify emerging technologies, gaps, opportunities, and potential players
• Translate insights into actionable program strategies and funding priorities
• Contribute to program management lifecycle activities, including acquisition package development, topic development, proposal evaluation, contract oversight, and performance monitoring
• Provide scientific and technical insight across a portfolio of innovations focused on improving national health security
• Perform additional programmatic support for medical countermeasures as assigned
• Support advanced research and development of medical countermeasures protecting Americans from CBRN events, pandemic influenza, and emerging infectious diseases

Artificial Intelligence jobs in District of Columbia

Director of Data, AI

AI & Bioinformatics Technical Advisor