Design AI security reference architectures and build AI-driven security services for seamless use in product development.
Compensation
$152,300.00 - $246,400.00/yr
Responsibilities
Design AI security reference architectures and build AI-driven security services for seamless use in product development.
Build reusable libraries and guardrails to make secure implementation the default standard, reducing systemic risk across all engineering teams.
Develop automated testing suites to identify and mitigate AI-specific vulnerabilities, such as prompt injection, indirect instruction following, and unsafe workspace mutations.
Translate complex threat models into clear engineering requirements, production security checks, and launch criteria.
Analyze production signals and incident reports to continuously harden the platform and optimize security architectures.
Lead Security Engineer responsible for developing and enhancing security strategies, red teaming programs, and solution designs for AI and software architectures, ensuring adversarial resilience and compliance with industry standards.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Develop and enhance security strategies, red teaming programs, and solution designs
Design secure, high-quality AI and software architectures
Reduce AI and LLM security vulnerabilities
Collaborate with stakeholders across product, data science, cyber, legal, and risk
Conduct discovery, threat modeling, and adversarial testing on generative AI, RAG pipelines, and ML systems
Requirements
Nice to have: AI red teaming exercises
Nice to have: AI security/red teaming tools and frameworks
Nice to have: contributions to AI security or open-source security projects
The Vice President, Global Red Team & AI Security Operations leads enterprise-wide red team and AI adversarial testing programs to emulate real-world threat actors and strengthen organizational resilience.
Responsibilities
Contribute to global Red Team and AI Red Team strategy, execution model, and operating standards.
Lead advanced attack simulations across traditional, cloud, and AI‑enabled environments.
Ensure red team activities align with enterprise risk, regulatory expectations, and control-validation objectives.
Define multi-year technical capability roadmaps for red team operations, including cloud exploitation, identity attack paths, adversary simulation validation, AI security testing, and scalable tooling automation.
Lead and oversee complex red team engagements across network, endpoint, application, cloud, and physical attack surfaces.
Requirements
Bachelor’s degree in Computer Science or equivalent field
Provide technical leadership on cross-functional teams performing AI adversarial threat analysis to identify and characterize vulnerabilities in real-world national security systems
Work across military and intelligence community sponsors to understand shared needs and technologies
Utilize and enhance MITRE ATLAS framework for assessing threats to AI-enabled systems
Assess and design AI systems for threat detection, monitoring, and reporting
Provide thought leadership supporting the innovation of new AI capabilities applied to cyber operational challenges
Lead research, development, engineering, evaluation, and integration of secure AI systems to protect national security systems.
Compensation
$143,600 - $179,500 - $215,400 Annual
Responsibilities
Perform AI adversarial threat analysis to identify and characterize vulnerabilities in real-world national security systems
Work across military and intelligence community sponsors to understand shared needs and technologies
Utilize and enhance MITRE ATLAS framework for assessing threats to AI-enabled systems
Contribute to the innovation of new AI capabilities applied to cyber operational challenges
Convey complex ideas to non-technical audiences through briefings and/or white papers
Requirements
Bachelor’s degree in a relevant field
Master’s degree
PhD
Nice to have: Advanced degree in computer science, engineering, or related disciplines
Nice to have: Track record of successful deployment of AI/ML systems or components used by customers or stakeholders outside of a lab/experimental setting
A highly technical role focused on conducting security reviews on applications, providing security education to engineers, and handling externally reported vulnerabilities.
Compensation
US base salary range for this full-time position is $170,000-$240,000.
Responsibilities
Serve as an application security subject matter expert who provides guidance to internal teams
Work closely with development teams, perform code reviews, penetration tests, and architectural reviews on existing codes and new features
Develop, implement, and communicate vulnerability mitigation strategies to development teams
Handle externally reported vulnerabilities as a member of Corporate Information Security Responsible Disclosure committee
Drive Fortinet static and dynamic application security testing program
Requirements
BS degree in Computer Science, Cyber Security, or equivalent experience
Provide senior technical advisory and systems engineering expertise in AI/ML security and cybersecurity
Evaluate vulnerabilities and security risks involving AI systems, machine learning models, and supporting infrastructure
Assess adversarial machine learning threats, including model poisoning, model inversion, evasion techniques, adversarial attacks, and data integrity threats
Support AI red teaming, adversarial robustness testing, AI penetration testing, and related security evaluations
Assess secure data architectures and pipelines supporting large scale analytics and intelligence environments
Requirements
Bachelor's degree in physics, mathematics, computer science, cybersecurity, or a relevant engineering discipline, including electrical, computer, systems, or software engineering
Nice to have: Master's degree or PhD in a relevant technical discipline
Nice to have: AI security SME or technical advisor to a federal civilian agency
Lead technical and research engineer focused on adversarial AI threat analysis, defense development, and integration into national security systems.
Locations (2)
Fort Meade, Maryland, United States
Annapolis Junction, Maryland, United States
Compensation
$174,000 - $217,500 - $261,000 Annual
Responsibilities
Provide technical leadership on cross-functional teams performing AI adversarial threat analysis to identify and characterize vulnerabilities in real-world national security systems
Work across military and intelligence community sponsors to understand shared needs and technologies
Provide thought leadership supporting the innovation of new AI capabilities applied to cyber operational challenges
Convey complex ideas to non-technical audiences through briefings and/or white papers
Lead, mentor, and collaborate with technical staff
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