{"id":1099701,"url":"https://alion.io/job/agilent-technologies-ai-cybersecurity-engineer","title":"AI Cybersecurity Engineer","company":{"id":6171,"name":"Agilent Technologies","domain":"agilent.com","url":"https://alion.io/company/agilent-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":52,"ghost_share":0,"stale_share":0.635,"repost_share":0.019,"time_to_fill_p50_days":34,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Security","role_family":"Security","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain","Wilmington, United States","United States"],"countries":["ES","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":233000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1385},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Threat Modeling","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Copilot","optional":true},{"name":"ISO 27001","optional":true},{"name":"LLM","optional":true},{"name":"NIST AI RMF","optional":true},{"name":"OpenAI","optional":true},{"name":"OWASP Top 10","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-21T21:18:45Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-13T00:04:20Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Job Description\nAgilent is seeking an innovative and highly collaborative AI Cybersecurity Engineer to help enable the secure adoption of Artificial Intelligence (AI) technologies across the enterprise. This role will partner closely with business functions, IT organizations, product teams, and Information Security & Risk Management (ISRM) to ensure AI solutions are designed, developed, deployed, and operated securely throughout their lifecycle.\nThe AI Cybersecurity Engineer will play a critical role in evaluating emerging AI technologies, assessing cybersecurity and compliance risks associated with commercial and internally developed AI solutions, and defining practical security controls that enable innovation while managing risk.\nThis position will serve as a advisor to technology and business teams, helping drive secure AI development practices, increase organizational awareness of AI-related risks, and promote secure-by-design principles across enterprise and product AI initiatives.\nPrimary Duties\nPartner with IT, business functions, and product teams to support the secure development and deployment of AI solutions.\n\nAssist with security assessments and risk reviews of commercial AI platforms, AI-enabled products, generative AI solutions, machine learning models, and internally developed AI capabilities.\n\nSupport short-term, mid-term, and long-term AI-related initiatives and projects across Agilent.\n\nCollaborate with enterprise architects, cloud teams, engineering teams, and security specialists to integrate security controls into AI solutions.\n\nParticipate in threat modeling, architecture reviews, design discussions, and security assessments for AI-enabled systems.\n\nAssist with evaluation of emerging AI technologies, security capabilities, industry trends, and evolving threat landscapes.\n\nHelp define and mature Agilent's long-term AI security strategy, governance framework, and security roadmap.\n\nPartner with Legal, Privacy, Compliance, Risk Management, Product Security, and Enterprise Security teams to ensure AI solutions align with applicable requirements and standards.\n\nDevelop security recommendations for AI data protection, model security, identity management, access controls, model governance, and third-party risk.\n\nAct as a secure AI evangelist by promoting awareness, education, and adoption of secure AI development practices throughout the organization.\n\nContribute to executive presentations, strategy discussions, standards development, and governance forums related to AI security.\n\nQualifications\nRequired Qualifications\nBachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related field.\n\n8+ years of experience in cybersecurity, information security, cloud security, application security, security engineering, or related disciplines.\n\n3+ years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives.\n\nStrong understanding of cybersecurity principles\n\nExperience evaluating security risks associated with commercial SaaS platforms, cloud services, and emerging technologies.\n\nKnowledge of cybersecurity frameworks, security controls, and industry best practices.\n\nStrong communication and stakeholder management skills with the ability to collaborate across technical and non-technical audiences.\n\nAbility to translate complex cybersecurity and AI-related risks into practical business recommendations.\n\nPreferred Qualifications\nExperience securing generative AI platforms, machine learning environments, AI agents, copilots, and AI-enabled applications.\n\nExperience reviewing or implementing AI governance programs, responsible AI frameworks, or AI risk management processes.\n\nFamiliarity with AI threat modeling, model security, prompt injection risks, data leakage protections, model integrity, and AI supply chain security.\n\nExperience working with Azure AI Services, OpenAI, Microsoft Copilot, AWS AI services, Google Vertex AI, or similar platforms.\n\nKnowledge of NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF), ISO 27001, OWASP Top 10 for LLM Applications, and related standards.\n\nExperience in regulated industries such as life sciences, healthcare, medical devices, software, or manufacturing.\n\nProfessional certifications such as CISSP, CCSP, CISM, GIAC, Microsoft Security certifications, AI-related certifications, or equivalent.\n\nAdditional Details\nThis job has a full time weekly schedule. Applications for this job will be accepted until at least September 28, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $139,440.00 - $217,875.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email  or contact +1-262-754-5030. 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