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AI Cybersecurity Engineer
Agilent Technologies. Partner with IT, business functions, and product teams to support the secure development and deployment of AI solutions .
Posted 9/21/2026full-timeColorado Springs • Colorado • United StatesSeniorLead💰 $139,440 - $217,875 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cybersecurity principles and AI security strategies, with a strong focus on integrating security controls into AI solutions and managing risks associated with emerging technologies. Proficient in collaborating with cross-functional teams to ensure compliance with industry standards and best practices.
Highest-signal resume keywords
Cybersecurity PrinciplesAI Security StrategyRisk ManagementGenerative AI SecurityCloud Security
ATS Keywords
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Hard Skills
CybersecurityInformation SecurityCloud SecurityApplication SecuritySecurity EngineeringAI Governance ProgramsThreat ModelingModel SecurityData Leakage ProtectionsAI Risk Management
Soft Skills
Strong CommunicationStakeholder Management
Tools & Technologies
Azure AI ServicesOpenAIMicrosoft CopilotAWS AI ServicesGoogle Vertex AI
Certifications & Qualifications
CISSPCCSPCISMGIACMicrosoft Security Certifications
Industry Keywords
NIST AI Risk Management FrameworkNIST Cybersecurity FrameworkISO 27001OWASP Top 10 for LLM ApplicationsRegulated Industries
Tech Stack
Tools & technologiesAWSAzureCloudCyber Security
About the role
Key responsibilities & impact- 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
- Promote 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
Requirements
What you’ll need- 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 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, 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 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 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
Benefits
Comp & perks- Eligibility for bonus
- Stock
- Benefits
- Equal Employment Opportunity and merit-based employment
- Workplace accessibility support for candidates with disabilities