Architect, prototype, and deploy mission-aligned agentic AI frameworks and LLM powered tools for cyber defense, autonomous cyber operations decision-making, and secure AI/agentic AI operations
Design, prototype, and transition AI- and LLM- powered systems that compress cyber operator decision cycles, secure critical infrastructure, secure AI and Agentic AI systems, and deliver resiliency from the enterprise to the tactical edge
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 and identify synergies with other R&D efforts
Resolve highly complex problems by researching and integrating 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
Requirements
Master's degree and 15+ years of prior relevant technical experience in software engineering, engineering, data science, cybersecurity or cyber operations, or related field
Additional years of experience may be considered in lieu of degree requirements
Basic understanding of secure architectures including Zero Trust (NIST 800-207, DoD ZT RA)
Familiarity with Secure-by-Design patterns (CISA) and resilient systems design (NIST 800-160 v2r1)
Must be a US Citizen with the ability to obtain and maintain a secret security clearance
Hands on experience building AI/ML systems, especially leveraging LLMs, multi-agent frameworks, or autonomous decision systems
Familiarity with LLM orchestration and agent frameworks (e.g., LangChain, LlamaIndex, Haystack)
Hands-on Software Development Skills (Python-Preferred)
Understanding of machine learning algorithms, tools and platforms (NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, or similar)
Experience working independently and in a team in an innovative and fast-paced environment while delivering to deadlines
Excellent interpersonal/communication skills, both verbal and written
Benefits
Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI frameworksLLM powered toolscyber defenseAI/ML modelsmachine learning algorithmssoftware development (Python)data analysisautomationsecure architecturesresilient systems design