Leidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.
Senior AI Security Researcher
Location
Alabama
Posted
6 days ago
Salary
$87.1K - $157.5K / year
Seniority
Senior
Job Description
Senior AI Security Researcher
Leidos
• Design, develop, and prototype 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 support transition to enterprise and mission environments. • Apply secure AI practices including Secure-By-Design, Zero Trust, and red teaming approaches to ensure safety, trust, and resiliency in AI deployments. • Contribute to internal playbooks, training materials, and team-level capability development to scale innovation within the group. • Collaborate with a team of researchers within Leidos across a range of technology areas; identify synergies with other Leidos research and development efforts. • Develop solutions to difficult and unclear technical problems through deep analysis, collaboration with internal experts, and understanding of impact on end-product/solution. • Contribute to 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 project team members to identify relevant data sources, perform exploratory data analysis (EDA), evaluate data viability, and prepare datasets for AI/ML systems.
Job Requirements
- Bachelor's degree and 4-8 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 collaboratively 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.
- Preferred: Experience with adversarial machine learning, reinforcement learning, or multi-agent systems – especially in the context of cybersecurity operations.
- Preferred: Experience evaluating, running, and/or fine-tuning open source models (e.g., Llama-3, working with Hugging Face models).
- Preferred: Knowledge of federated learning or edge AI deployments for cyber-physical systems or operational technology.
- Preferred: Experience with securing AI systems and AI components along with understanding of common frameworks such as NIST AI RMF, MITRE ATLAS, NIST AI 100-2.
- Preferred: Demonstrated ability to rapidly prototype, iterate, and integrate in a collaborative research environment.
- Preferred: Experience contributing to multi-disciplinary research teams and collaborating with technology vendors or academic researchers.
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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