Senior Advisor - Artificial Intelligence and Machine Learning
$170,000–$190,000 year
On-siteAlexandria, Virginia, United States
Job Summary
Advise Senior Leaders and the Director Submarine Program on all AI/ML matters, translating complex technical concepts into strategic implications and actionable policy. Serve as the principal technical authority on deep learning, generative AI, reinforcement learning, and AI assurance, providing expert guidance to major acquisition programs on integrating these capabilities into weapon systems and autonomous platforms. Counsel on the global AI/ML landscape, including adversarial capabilities, to inform DoD defensive and offensive postures. Develop new paradigms for the Test, Evaluation, Verification, and Validation of AI-enabled systems and assess the AI-readiness of the defense industrial base. This role supports the AUKUS, Submarines, and Industrial Base Group within Systems Planning and Analysis, Inc., focusing on the Columbia-class, Virginia-class, and SSN-X programs.
Required Qualifications
- Nationally or internationally recognized authority in AI/ML with a minimum of 15 years of senior-level experience leading cutting-edge research and/or large-scale application development
- Demonstrated success providing strategic counsel on AI/ML to C-suite, Flag Officer, Senior Executive Service (SES), or equivalent leadership in a large, complex organization (e.g., FAANG-level tech company, national lab, or major research university)
- A portfolio of significant accomplishments, such as pioneering widely adopted AI/ML models, publishing seminal research papers, holding key patents, or leading a major AI/ML product or division
- Deep, technical, state-of-the-art knowledge across multiple AI/ML domains
- Must be able to maintain a Top Secret/SCI security clearance
Desired Qualifications
- Experience as a Chief Technology Officer (CTO), Chief Scientist, or senior research fellow at a leading technology firm or research institution
- Experience applying AI/ML to defense, intelligence, or national security problems (e.g., ISR data analysis, autonomous navigation, cybersecurity, logistics)
- Familiarity with the DoD acquisition process and the unique challenges of deploying software-intensive systems in a military environment
- Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field
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