AI Security Engineer jobs in United States
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Fortinet · 1 month ago

AI Security Engineer

Fortinet is a cybersecurity pioneer with over two decades of excellence, dedicated to safeguarding people, devices, and data everywhere. The AI Security Engineer will ensure the security, safety, and privacy of AI-driven applications while collaborating with cross-functional teams and providing technical expertise.

Cyber SecurityMobileNetwork SecuritySecurity
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Serve as an AI security subject matter expert who provides guidance to internal teams
Work closely with development teams, conduct code reviews, perform AI Red Teaming assessments, to identify vulnerabilities in existing codes and new features, and participate in architectural reviews to ensure security is considered early in the development lifecycle
Perform threat modeling for AI-related products, such as chatbots, MCPs implementations, and autonomous agents
Integrate Security and AI-Specific checks into CI/CD workflows to automate security testing and ensure consistent application of best practices
Develop, implement, and communicate vulnerability mitigation strategies
Develop strategies, evaluate solutions, design and implement tools, processes and controls to ensure that security, safety and privacy are designed in Fortinet AI applications
Develop and maintain security guardrails, input/output filters, and policy enforcement layers for LLM interactions
Proactively research new attack vectors on AI applications that may affect Fortinet applications and infrastructure
Be part of a global distributed team to share knowledge, workload and assignments. Strong sense of teamwork is required. Coach peers in AI/ML security concepts and best practices

Qualification

AI security expertiseLLM application architectureManual application penetration testingSecurity code reviewCloud-native application architectureThreat modeling methodologiesCI/CD pipelinesAPI security risksTeamworkCommunication skillsProblem-solving

Required

7+ years of work experience as an Information security, product security, application security, AI/ML or data science related fields
Strong understanding on LLM Based Application architectures, technologies, frameworks, and foundational concepts like training, vector databases, memory, tool usage, MCP, Agentic AI, Guardrails etc
Solid understanding on current attacks on ML models, including adversarial examples, prompt injection, training data extraction, model extraction, and data poisoning
Solid understanding on LLM moderation, prompt engineering and guardrails
Strong understanding on OWASP TOP 10 and OWASP LLM Top 10 risks
Strong understanding of common API security risks
Strong understanding on Cloud-Native application architecture, microservices, containerization technologies, secure deployment and implementation issues
Proven experience in manual application penetration testing
Proven experience in security code review
Strong foundation in computer and network security, authentication & authorization, security protocols and applied cryptography
Solid understanding on CI/CD pipelines, build systems and DevSecOps principles
Experience defining security architecture patterns and standards in a large enterprise organization
Experience with cloud-based security solutions and familiarity with cloud service providers, particularly in relation to AI Security
Experience working with threat modeling methodologies such as STRIDE, MAESTRO etc
Solid understanding of OAuth and JWT implementations
Ability to organize & communicate effectively, both written and verbal, with technical and non-technical people across functional teams
A BS degree in Computer Science, Cyber Security, other tech-related degree, or equivalent experience

Preferred

MS or PhD in, Artificial Intelligence or related field
Experience in AI Red teaming or adversarial testing of AI/ML applications
Use of AI in vulnerability research or some other offensive domain
Experience analyzing AI-generated code for security issues
Demonstrated experience in MLops or Deep learning related infrastructure
Understanding of data science, statistical analysis, and visualization
Background of AI Trust principles and familiarity with application of ethical and safety perspectives to AI implementations
Strong understanding on EU AI Act, GDPR, ISO 42001 or NIST AI RMF like frameworks

Benefits

Medical
Dental
Vision
Life and disability insurance
401(k)
11 paid holidays
Vacation time
Sick time
Comprehensive leave program

Company

Fortinet

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Fortinet is a provider of network security appliances that include firewalls, security gateways, and complementary products. It is a sub-organization of Fortinet Federal.

H1B Sponsorship

Fortinet has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (200)
2024 (152)
2023 (155)
2022 (175)
2021 (139)
2020 (161)

Funding

Current Stage
Public Company
Total Funding
$89M
Key Investors
Meritech Capital PartnersDEFTA Partners
2009-11-18IPO
2004-03-03Series Unknown· $50M
2003-08-29Series D· $30M

Leadership Team

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Ken Xie
Founder and Chief Executive Officer
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Michael Xie
Founder, President & CTO
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Company data provided by crunchbase