Leidos

AI Security Researcher

Leidos

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $148,850 - $269,075 per year

Job Level

SeniorLead

Tech Stack

Cyber SecurityNumpyPythonPyTorchScikit-LearnTensorflow

About the role

  • 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
Soft skills
interpersonal skillscommunication skillsproblem-solvingteam collaborationinnovationtime managementleadershipadaptabilitycritical thinkingresearch skills
Certifications
Master's degreesecret security clearance
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