Senior AI Security Researcher

Description

The Leidos Cyber Accelerator is redefining how we build,validate, and scale next-generation cyber and artificial intelligence (AI) capabilities. We are seeking a Senior AI Security Researcher who works at the intersection of cybersecurity, AI and agentic AI, and mission-aligned engineering, with a focus on developing and applying AI technology for AI security. The ideal candidate is passionate about securing AI and agentic AI pipelines and protocols, nonhuman identities, and emerging AI architectures.

In this role you will design, develop, and prototype systems that secure AI and agentic AI-powered workflows, compress cyber operator decision cycles, secure critical software infrastructure, and deliver resiliency from the enterprise to the tactical edge. This role works alongside junior and senior engineers and research scientists withexpertisein mission-critical operations, handling wide ranges of data sensitivity levels and needs, Zero Trust architectures, resilient systems design, operational technology and cyber-physical systems, cybersecurity, IT, and reverse engineering.

Primary Responsibilities:

• 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;identifysynergies 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 andmaintainanalysis tools, including automation of current processes using AI/ML algorithms.

• Work with project team members toidentifyrelevant data sources, perform exploratory data analysis (EDA), evaluate data viability, and prepare datasets for AI/ML systems.

Basic Qualifications:

• 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.Additionalyears of experience may be considered in lieu of degree requirements.

• 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 withSecDevOps, 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,toolsand platforms (NumPy, SciPy, scikit-learn, TensorFlow,PyTorch, or similar).

• Must be a US Citizen with the ability to obtain andmaintaina 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 Qualifications:

• Experience with adversarial machine learning, reinforcement learning, or multi-agent systems - especially in the context of cybersecurity operations.

• Experience evaluating, running, and/or fine-tuningopen sourcemodels (e.g., Llama-3, working with Hugging Face models).

• Knowledge of federated learning or edge AI deployments for cyber-physical systems or operational technology.

• 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.

• Demonstrated ability to rapidly prototype, iterate, and integrate in a collaborative research environment.

• Experience contributing to multi-disciplinary research teams and collaborating with technology vendors or academic researchers.

• The ability to obtain andmaintaina TS/SCI clearance.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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