AI Security Operations Engineer

AI Security Operations Engineer

The AI Security Operations Engineer is responsible for securing, operationalizing, and scaling AI, Generative AI, and Agentic AI systems across the enterprise. This role bridges security architecture, AI governance, and operational security, ensuring AI systems are designed, deployed, and monitored with security-by-design and runtime assurance.

This role operates as a hands-on technical leader and trusted advisor to engineering, AI, and business stakeholders, translating AI risk into actionable security controls without slowing innovation.

Key Responsibilities

• Lead security design and operational oversight for AI, Generative AI, and Agentic AI initiatives across the enterprise
• Define and operationalize AI security frameworks, standards, and review processes that govern model lifecycle, data usage, and autonomous behavior
• Conduct AI-focused security architecture reviews and threat modeling to identify and mitigate risks before deployment
• Support and monitor agentic and autonomous AI workflows, ensuring guardrails, accountability, and runtime visibility
• Partner with AI leadership and accelerator programs to enable secure AI adoption at scale
• Translate complex AI and cybersecurity risks into clear business and patient-impact narratives for senior leadership
• Contribute to and evolve enterprise AI governance programs, aligning with global regulatory expectations (e.g., NIST AI RMF, EU AI Act, privacy frameworks)
• Enable continuous improvement of AI security operations through automation, metrics, and repeatable processes

Required Qualifications

• Bachelor's Degree
• 7+ years of experience in cybersecurity architecture, security engineering, or security operations
• Demonstrated expertise securing cloud, hybrid, and on-prem environments (AWS, Azure, GCP)
• Hands-on experience with AI/ML security, Generative AI, and Agentic AI concepts
• Proven ability to build and scale enterprise security frameworks for emerging technologies
• Strong background in threat modeling, risk analysis, and secure solution design
• Experience advising and influencing multiple stakeholders across hundreds of initiatives annually
• Ability to operate independently while shaping strategy and execution

Preferred / Differentiating Skills

• Experience designing or contributing to enterprise AI cybersecurity frameworks
• Background supporting AI governance and accelerator programs
• Knowledge of global regulatory and compliance requirements (NIST AI RMF, EU AI Act, GDPR, HIPAA, PCI-DSS)
• Experience in life sciences, healthcare, or highly regulated environments
• Certifications in AI governance or cybersecurity (e.g., AIGP, CISSP, CISM, CISA)

What Success Looks Like

• AI initiatives move faster because security is embedded early, not reviewed late
• Agentic AI systems are deployed with clear guardrails, monitoring, and accountability
• Security reviews scale across hundreds of AI and non-AI projects annually without becoming a bottleneck
• Leadership has clear visibility into AI risk, posture, and readiness