Artificial Intelligence; AI Cybersecurity Scientist; Ph.D

Our Opportunity

We are currently seeking an Artificial Intelligence (AI) Cybersecurity Scientist for our Electrical Engineering & Computer Science Practice in Menlo Park or Oakland, CA or other U.S. locations
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In this role, you will work as part of a team to help clients:

• Securely and responsibly adopt artificial intelligence (AI) technologies
• Develop and implement assurance practices and frameworks for operational technology (OT) environments, including critical infrastructure
• Design, build, and evaluate AI-enabled systems that improve the cybersecurity posture of OT environments

• Delivering highly technical AI consulting services to help clients adopt AI solutions securely, responsibly, and effectively
• Developing approaches to evaluate, assure, and govern AI systems before deployment, with particular emphasis on cybersecurity
• Evaluating AI systems for cybersecurity risks, including adversarial manipulation, data poisoning, model extraction, prompt injection, insecure tool use, and unsafe autonomous behavior
• Applying cybersecurity and AI risk management frameworks such as the NIST Cybersecurity Framework, NIST AI Risk Management Framework, MITRE ATT&CK, MITRE ATLAS, ISA/IEC 62443, and relevant sector‑specific critical infrastructure guidance
• Leading efforts to design, develop, and evaluate AI models and systems that improve the cybersecurity posture of OT environments, beginning with threat detection and progressing toward more autonomous, agentic capabilities where appropriate
• Leading or collaborating on all phases of the client engagement lifecycle, including identifying client needs, framing and scoping business problems, developing project and sprint plans, building and evaluating AI solutions, and translating insights into actionable recommendations
• Advising clients on both technical and strategic business solutions, identifying new technology-driven opportunities, and helping clients plan scalable, sustainable, and efficient systems
• Supporting business development by proactively building relationships with clients, identifying new project opportunities, and helping craft and execute business and technical solutions, either independently or collaboratively with firm leadership

• Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, Cybersecurity, or a related technical discipline
• Experience developing, evaluating, or deploying machine learning, deep learning, generative AI, or agentic AI systems
• Expertise spanning AI model development, AI assurance, cybersecurity, OT systems, and software development using modern engineering best practices
• Proficiency in at least two of the following:
  Python, R, C++, Linux, cloud platforms, containerization, MLOps tools, or cybersecurity analysis tools
• Working understanding of common Operational Technologies (OT) architectures, protocols, and constraints, including industrial control systems, supervisory control and data acquisition systems, programmable logic controllers, distributed control systems, and safety-critical environments
• Strong communication skills, with a demonstrated ability to translate complex technical, scientific, and business concepts for diverse audiences
• Business acumen and entrepreneurial mindset with a track record of identifying value for clients, framing business plans, and driving business development
• Strong project management and organizational skills; ability to thrive independently and as a collaborative team member in fast-paced, multidisciplinary settings
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required

At Exponent, we have found that in‑person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in‑person in the office unless they are traveling…