Architect, prototype, and deploy mission-aligned agentic AI frameworks and LLM powered tools for secure AI / agentic AI operations cyber defense, and autonomous cyber operations decision-making.
Deliver working solutions across the TRL spectrum through rapid iteration from concept to prototype to enable smooth transition to enterprise and mission environments.
Advance secure AI practices through applying Secure-By-Design, Zero Trust, and red teaming approaches to ensure safety, trust, and resiliency in AI deployments.
Publish and scale innovation through developing internal playbooks, training, and enterprise-wide capabilities.
Collaborate with a team of researchers within Leidos across a range of technology areas; identify synergies and collaborations with other Leidos research and development efforts.
Resolve highly complex problems faced by developing solutions that are innovative and achieved through research and integration of best practices and leading technologies.
Assist and lead in the design, implementation, and evaluation of AI/ML models for various applications.
Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms.
Work with cross-functional teams to identify relevant data sources, perform exploratory data analysis (EDA), evaluate data viability, and prepare datasets for AI/ML systems

Master's degree and 15+ years of prior relevant technical experience in software engineering, engineering, data science, cybersecurity or cyber operations, or related field.
Hands on experience building AI/ML systems, especially leveraging LLMs, multi-agent frameworks, or autonomous decision systems
Familiarity with Frontier AI company capabilities (OpenAI, Anthropic, Google, etc) and LLM orchestration and agent frameworks (e.g., LangChain, LlamaIndex, Haystack)
Experience with SecDevOps, DevOps, and nonhuman identities (NHI) and related technologies.
Understanding of secure architectures including Zero Trust (NIST 800-207, DoD ZT RA), Secure-by-Design patterns (CISA), or resilient systems design. (NIST 800-160 v2r1)
Hands-on Software Development Skills (Python-Preferred) Understanding of machine learning algorithms, tools and platforms (NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, or similar)
Must be a US Citizen with the ability to obtain and maintain a secret security clearance.
Experience working independently and in a team in an innovative and fast-paced environment while delivering to deadlines.
Enthusiasm for innovation, experimentation and self-development in the cybersecurity field.
Excellent interpersonal/communication skills, both verbal and written.

Principal AI Security Researcher

Key skills