Agilent 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.
The 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.
This 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.
Partner with IT, business functions, and product teams to support the secure development and deployment of AI solutions.
Assist with security assessments and risk reviews of commercial AI platforms, AI-enabled products, generative AI solutions, machine learning models, and internally developed AI capabilities.
Support short-term, mid-term, and long-term AI-related initiatives and projects across Agilent.
Collaborate with enterprise architects, cloud teams, engineering teams, and security specialists to integrate security controls into AI solutions.
Participate in threat modeling, architecture reviews, design discussions, and security assessments for AI-enabled systems.
Assist with evaluation of emerging AI technologies, security capabilities, industry trends, and evolving threat landscapes.
Help define and mature Agilent's long-term AI security strategy, governance framework, and security roadmap.
Partner with Legal, Privacy, Compliance, Risk Management, Product Security, and Enterprise Security teams to ensure AI solutions align with applicable requirements and standards.
Develop security recommendations for AI data protection, model security, identity management, access controls, model governance, and third-party risk.
Act as a secure AI evangelist by promoting awareness, education, and adoption of secure AI development practices throughout the organization.
Contribute to executive presentations, strategy discussions, standards development, and governance forums related to AI security.
Required Qualifications
Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related field.
8+ years of experience in cybersecurity, information security, cloud security, application security, security engineering, or related disciplines.
3+ years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives.
Strong understanding of cybersecurity principles
Experience evaluating security risks associated with commercial SaaS platforms, cloud services, and emerging technologies.
Knowledge of cybersecurity frameworks, security controls, and industry best practices.
Strong communication and stakeholder management skills with the ability to collaborate across technical and non-technical audiences.
Ability to translate complex cybersecurity and AI-related risks into practical business recommendations.
Preferred Qualifications
Experience securing generative AI platforms, machine learning environments, AI agents, copilots, and AI-enabled applications.
Experience reviewing or implementing AI governance programs, responsible AI frameworks, or AI risk management processes.
Familiarity with AI threat modeling, model security, prompt injection risks, data leakage protections, model integrity, and AI supply chain security.
Experience working with Azure AI Services, OpenAI, Microsoft Copilot, AWS AI services, Google Vertex AI, or similar platforms.
Knowledge of NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF), ISO 27001, OWASP Top 10 for LLM Applications, and related standards.
Experience in regulated industries such as life sciences, healthcare, medical devices, software, or manufacturing.
Professional certifications such as CISSP, CCSP, CISM, GIAC, Microsoft Security certifications, AI-related certifications, or equivalent.
Additional Details
This 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 [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: 10% of the TimeShift: DayDuration: No End DateJob Function: ITSkills Required
- Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related field
- 8 or more years of experience in cybersecurity, information security, cloud security, application security, security engineering, or related disciplines
- 3 or more years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives
- Strong understanding of cybersecurity principles
- Experience evaluating security risks associated with commercial SaaS platforms, cloud services, and emerging technologies
- Knowledge of cybersecurity frameworks, security controls, and industry best practices
- Strong communication and stakeholder management skills with technical and non-technical audiences
- Ability to translate complex cybersecurity and AI-related risks into practical business recommendations
- Experience securing generative AI platforms, machine learning environments, AI agents, copilots, or AI-enabled applications
- Experience reviewing or implementing AI governance programs, responsible AI frameworks, or AI risk management processes
- Familiarity with AI threat modeling, model security, prompt injection risks, data leakage protections, model integrity, and AI supply-chain security
- Experience with Azure AI Services, OpenAI, Microsoft Copilot, AWS AI services, Google Vertex AI, or similar platforms
- Knowledge of NIST AI Risk Management Framework, NIST Cybersecurity Framework, ISO 27001, OWASP Top 10 for LLM Applications, and related standards
- Experience working in regulated industries such as life sciences, healthcare, medical devices, software, or manufacturing
- Professional certification such as CISSP, CCSP, CISM, GIAC, Microsoft Security certification, AI-related certification, or equivalent
Agilent Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.
-
Retirement Support — The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
-
Equity Value & Accessibility — An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
-
Leave & Time Off Breadth — Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.
Agilent Technologies Insights
What We Do
Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.
