AI Cybersecurity Engineer
Job Description
Agilent Technologies, Inc is seeking an AI Cybersecurity Engineer to help enable the secure adoption of AI across the organization. In this onsite role in Colorado Springs, CO, you will partner with business, IT, product teams, and ISRM to design, develop, deploy, and operate AI solutions with appropriate security controls and governance.
This position focuses on assessing AI security and compliance risk, strengthening long-term strategy, and collaborating across enterprise architecture, cloud, engineering, and security specialties to ensure AI capabilities are protected across the lifecycle.
What you will do
- Collaborate with IT, business functions, and product teams to support the secure development and deployment of AI solutions.
- Assist with security assessments and risk reviews for 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.
- Work 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.
- Evaluate 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 to align AI solutions with applicable requirements and standards.
- Develop security recommendations covering AI data protection, model security, identity management, access controls, model governance, and third-party risk.
- Promote secure AI development practices through awareness, education, and adoption activities across 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 a related discipline.
- 3+ years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives.
- Strong understanding of cybersecurity principles.
- Experience evaluating security risks tied to 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.
Technologies
- Azure AI Services
- OpenAI
- Microsoft Copilot
- AWS AI services
- Google Vertex AI
- NIST AI Risk Management Framework (AI RMF)
- NIST Cybersecurity Framework (CSF)
- ISO 27001
- OWASP Top 10 for LLM Applications
- CISSP
- CCSP
- CISM
- GIAC
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.
Compensation and benefits
- Salary range: USD 139,440 - 217,875 per year
- Benefits: bonus, stock, benefits
Additional information
- Work schedule: full time, day shift
- Travel required: 10% of the time
- Job function: IT
- Duration: no end date
- Application deadline: accepted until at least September 28, 2026 or until the job is no longer posted
- Pay range details: pay ranges are determined by role, level, and location; full-time equivalent range is $139,440.00 - $217,875.00/yr, plus eligibility for bonus, stock and benefits