Senior Advisor Artificial Intelligence & Advanced Compute

Mandatory Qualifications: Expert expertise in one or more of the following areas: Machine learning / AI systems (training, fine-tuning, evaluation, deployment). Large-scale compute infrastructure (HPC, distributed systems, cloud, accelerators). Data architecture and pipelines supporting AI workloads. AI security, safety, or robustness. Proven experience building, deploying, or scaling production-grade AI or compute systems. Expert understanding of system-level tradeoffs across compute, data, models, latency, cost, and security. Superior ability to lead complex, cross-functional efforts spanning engineering, product, and operations. Experience working with senior executives and influencing strategic decisions. Superior ability to translate cutting-edge technical concepts into actionable strategy and mission outcomes. Expert collaboration skills and ability to operate effectively across government, industry, and academic stakeholders. Commitment to public service, national security, and responsible technology deployment. Expert experience with work of superior impact on agency programs related to a rapidly evolving field. Desired Qualifications: Experience with Generative AI models, including large language models, multi-modal systems, and agent-based architectures. Experience designing or operating AI infrastructure stacks (training clusters, inference optimization, model serving). Familiarity with specialized hardware ecosystems (GPUs, TPUs, wafer-scale engines, custom accelerators). Experience with AI evaluation, benchmarking, red-teaming, or model assurance. Background in high-growth technology companies, leading research labs, or advanced government programs. Experience navigating classified or sensitive environments, or deploying secure systems at scale. Understanding of global AI competition dynamics and national security implications.