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The Research Scientist will design evaluation measures for AI systems, collaborate with agencies, and publish research on AI risks.

Lead the development of AI applications and custom LLMs for government clients. Engage with stakeholders to define solutions and provide updates on project progress.

As an Engagement Manager, you'll manage relationships with national security customers, leading project teams to exceed AI/ML objectives, while ensuring exceptional customer service and successful account onboarding.

As an Engagement Management Lead, you'll manage strategic customer relationships, oversee project delivery, and ensure quality outcomes while navigating complex customer dynamics.

Own end-to-end delivery of enterprise AI programs: manage timelines, risks, dependencies, and cross-functional integration. Translate technical complexity for engineering and executives, modernize agile workflows, and define program health metrics to drive adoption and scalable, reliable agentic solutions.

Lead development and scaling of an enterprise generative AI platform. Work across backend, frontend, and ML/LLM integrations, own major product areas, deliver high-velocity experiments, and ensure scalability and reliability from concept through production.

Lead strategic planning and execution for the Scale Generative AI Platform, owning technical scoping, architecture, and production launches. Coordinate cross-functional teams (platform engineering, Core ML, Research, Product), translate infrastructure metrics into roadmaps, mitigate deployment risks, define SLOs, drive developer velocity, and report adoption and reliability metrics to executive leadership to ensure scalable, secure, production-grade GenAI infrastructure.

Manage client relationships and identify high-value government use cases for custom LLMs. Oversee execution, coordinate with product and engineering teams, track delivery and operational performance, engage research institutions on Arabic LLM development, and support partnerships for AI upskilling. Serve as primary client contact and proactively mitigate risks while driving continuous improvement.

Lead cross-functional, end-to-end technical programs for robotics and physical AI. Align Engineering, Operations, Product, and GTM; define scope and schedules, manage dependencies and risks, create program documentation and executive updates, establish scalable processes, and execute hands-on to drive hardware-software systems from design to large-scale production.

Lead and scale a global ML Research organization focused on frontier generative AI, evaluation, agents, safety, and alignment. Set technical direction, translate research into production solutions, partner with GTM and Fortune 100 customers, manage senior research leaders, and drive cross-functional planning including budget and headcount.