The Leidos Cyber Accelerator is redefining how we build, validate, and scale next-generation cyber and artificial intelligence (AI) capabilities. We are seeking a Research Scientist who thrives at the intersection of cybersecurity, AI and agentic AI, and mission-aligned engineering.
Requirements
- Basic 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 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 with adversarial machine learning, reinforcement learning, or multi-agent systems – especially desired if having done so in the context of cybersecurity operations.
- Experience evaluating, running, and / or fine-tuning open source models (e.g., Lllama-3, working w/ Hugging Face Models).
Responsibilities
- 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.
- 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.
Other
- Bachelor's degree and 4+ 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.
- 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.
