{"id":176789,"url":"https://alion.io/job/fortinet-blog-principal-ai-security-engineer","title":"Staff AI Security Engineer","company":{"id":52696,"name":"Fortinet","domain":"fortinet.com","url":"https://alion.io/company/fortinet-blog","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":85,"open_postings":189,"ghost_share":0,"stale_share":0.783,"repost_share":0,"time_to_fill_p50_days":3,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Security","role_family":"Security","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"EU AI Act","optional":false},{"name":"GDPR","optional":false},{"name":"ISO 42001","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OWASP","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"Red Teaming","optional":false},{"name":"STRIDE","optional":false},{"name":"Threat Modeling","optional":false}],"status":"live","first_seen_at":"2026-04-06T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-04T17:26:06Z","board_verified":true,"closed_at":null,"days_open":212,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":212},"description":"Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At Fortinet, our mission is to safeguard people, devices, and data everywhere.\nFortinet is seeking an experienced and innovative Staff AI Security Engineer to join our Corporate Information Security team. As an AI Security Engineer, you will play a crucial role in ensuring the security, safety, and privacy of our AI-driven applications while collaborating with cross-functional teams and providing technical expertise.\nKey Responsibilities:\nServe as an AI security subject matter expert who provides guidance to internal teams\nWork 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.\nPerform threat modeling for AI-related products, such as chatbots, MCPs implementations, and autonomous agents.\nIntegrate Security and AI-Specific checks into CI/CD workflows to automate security testing and ensure consistent application of best practices.\nDevelop, implement, and communicate vulnerability mitigation strategies\nDevelop strategies, evaluate solutions, design and implement tools, processes and controls to ensure that security, safety and privacy are designed in Fortinet AI applications.\nDevelop and maintain security guardrails, input/output filters, and policy enforcement layers for LLM interactions\nProactively research new attack vectors on AI applications that may affect Fortinet applications and infrastructure.\nBe 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.\nMinimum Qualifications\n7+ years of work experience as an Information security, product security, application security, AI/ML or data science related fields.\nStrong understanding on LLM Based Application architectures, technologies, frameworks, and foundational concepts like training, vector databases, memory, tool usage, MCP, Agentic AI, Guardrails etc.\nSolid understanding on current attacks on ML models, including adversarial examples, prompt injection, training data extraction, model extraction, and data poisoning. \nSolid understanding on LLM moderation, prompt engineering and guardrails.\nStrong understanding on OWASP TOP 10 and OWASP LLM Top 10 risks.\nStrong understanding of common API security risks\nStrong understanding on Cloud-Native application architecture, microservices, containerization technologies, secure deployment and implementation issues.\nProven experience in manual application penetration testing\nProven experience in security code review\nStrong foundation in computer and network security, authentication & authorization, security protocols and applied cryptography\nSolid understanding on CI/CD pipelines, build systems and DevSecOps principles.\nExperience defining security architecture patterns and standards in a large enterprise organization.\nExperience with cloud-based security solutions and familiarity with cloud service providers, particularly in relation to AI Security\nExperience working with threat modeling methodologies such as STRIDE, MAESTRO etc.\nSolid understanding of OAuth and JWT implementations.\nAbility to organize & communicate effectively, both written and verbal, with technical and non-technical people across functional teams\nA BS degree in Computer Science, Cyber Security, other tech-related degree, or equivalent experience. \nWays to Stand Out\nMS or PhD in, Artificial Intelligence or related field\nExperience in AI Red teaming or adversarial testing of AI/ML applications.\nUse of AI in vulnerability research or some other offensive domain \nExperience analyzing AI-generated code for security issues \nDemonstrated experience in MLops or Deep learning related infrastructure \nUnderstanding of data science, statistical analysis, and visualization \nBackground of AI Trust principles and familiarity with application of ethical and safety perspectives to AI implementations.\nStrong understanding on EU AI Act, GDPR, ISO 42001 or NIST AI RMF like frameworks.\nThis position is fully onsite and requires regular attendance at our Sunnyvale, CA location. Remote or hybrid arrangements are not available for this role.\nAbout Our Team:\nJoin our team, known for its collaborative ethos, working seamlessly with global customers, internal engineering teams and product development groups. Our team culture emphasizes continuous learning, innovation, and a strong commitment to customer satisfaction. We embrace Fortinet’s core values of openness, teamwork and innovation, fostering an environment where team members support each other, share knowledge, and leverage AI to solve complex technical challenges. Our inclusive and dynamic team thrives on collaboration and is driven by the shared goal of maintaining Fortinet’s high standards of excellence in cybersecurity solutions.\nWhy Join Us:\nWe encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.\nMust be authorized to work in the U.S. without sponsorship\nThe US base salary range for this full-time position is $170,000-$240,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program.\nWage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.\nAll roles are eligible to participate in the Fortinet equity program. 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