Cyber - AI Security - Manager - Consulting

Location: Anywhere in the United States

The Opportunity

Artificial Intelligence (AI) is rapidly transforming how organizations operate, creating new security, governance, and risk management challenges. EY’s Cyber practice is building a differentiated practice at the intersection of AI and security. As a Manager focused on AI Security, you will lead client engagements that span AI risk assessments, AI Security Posture Management (AI‑SPM), AI governance program design, and secure AI architecture.

Your Key Responsibilities

• Lead and manage AI security and AI governance engagements across a range of industries.
• Oversee AI security assessments, direct AI‑SPM implementations, and guide the design of governance frameworks, policies, and controls for responsible AI deployment.
• Work closely with client leadership—including CISOs, CIOs, and AI program owners—to evaluate AI risk postures, facilitate workshops and architecture reviews, and translate technical findings into executive‑ready recommendations.
• Provide hands‑on direction in the configuration and integration of AI security tooling, embedding security within clients’ AI development and deployment pipelines.
• Manage engagement workstreams, mentor Senior Consultants and Consultants, and deliver high‑quality client service within established timelines and budgets.
• Monitor the evolving AI threat landscape, regulatory developments (e.g., EU AI Act, NIST AI RMF), and emerging AI security tooling, translating insights into actionable guidance for clients and EY’s practice.
• Contribute to business development activities such as proposal development, client presentations, thought leadership, and account growth initiatives.
• Collaborate with professionals across EY’s Cybersecurity and AI capabilities to deliver integrated solutions.

Skills and Attributes for Success

• Deep knowledge of AI/ML systems, architectures, and deployment patterns—including LLMs, generative AI, and MLOps pipelines—and the security risks they introduce.
• Ability to work closely with Senior Managers, Partners, and client executives to define engagement scope, manage expectations, and deliver successful outcomes.
• Experience advising organizations on AI security posture, AI governance program design, and responsible AI risk management.
• Hands‑on familiarity with AI‑SPM platforms and AI security tooling, including DevSecOps platforms and harnesses.
• Ability to deliver high‑quality work products within budget and established deadlines.
• Strong analytical, problem‑solving, and critical‑thinking skills applied to complex AI security and governance challenges.
• Ability to communicate technical AI security concepts clearly to both engineering teams and executive audiences.
• Strong presentation, facilitation, and stakeholder‑management skills.
• Experience leading and developing teams in a collaborative, fast‑paced consulting environment.
• Commitment to quality, continuous learning, and staying current with the rapidly evolving AI security landscape.

To Qualify for the Role

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field (or a graduate degree) with approximately 5+ years of relevant experience (or 4+ years with a graduate degree), including at least 1–2 years in AI or machine‑learning security.
• Experience in one or more of the following areas:
  • AI security assessments, AI‑SPM, or AI model risk evaluations.
  • AI/ML pipeline security, model security, and MLOps security practices.
  • AI governance, responsible AI policy development, and AI risk‑management frameworks.
  • DevSecOps and CI/CD security, including experience with platforms and harnesses.
  • Cloud security for AI workloads on AWS, Azure, or GCP.
  • AI regulatory compliance and emerging AI‑specific standards and guidance.
  • Cybersecurity architecture, risk management, and security controls design.
  • Familiarity with AI security frameworks and guidance (e.g., NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS).
  • Working knowledge of foundational cybersecurity frameworks (NIST CSF, NIST 800‑53, ISO 27001/27002) as applied within AI‑enabled environments.
  • Experience supporting or leading client‑facing cybersecurity or AI security engagements.
  • Strong written, verbal, and presentation skills.
  • Willingness to travel based on client and business needs (estimated 25–50%).
• Preferred: Professional certifications in cybersecurity (e.g., CISSP, CCSP, CISM, CRISC) or emerging AI/ML security credentials.
• Hands‑on experience with AI‑SPM platforms, MLOps tooling, and AI security automation technologies.
• Experience with CI/CD orchestration and integrated security tooling (e.g., Harness) to design and enforce automated security controls within AI development pipelines.
• Knowledge of adversarial machine‑learning techniques, model explainability requirements, and AI supply‑chain risk management.
• Exposure to AI‑related regulatory developments, including the EU AI Act, NIST AI RMF, and sector‑specific guidance in financial services, healthcare, or critical infrastructure.
• Experience facilitating executive workshops, client steering committees, and AI security architecture reviews.
• Background in software development, data engineering, or ML engineering that informs deep technical AI security credibility.
• Consulting experience within a professional‑services environment with a track record of managing client relationships and engagement delivery.

What We Look For

We seek professionals who combine deep AI security expertise with strong consulting and leadership capabilities. The ideal candidate builds trusted relationships with client executives, directs technically sophisticated teams, and delivers practical, well‑grounded recommendations that help organizations govern and secure AI responsibly. Hands‑on technical credibility, executive‑level communication skills, and a drive to grow EY’s AI security practice are essential.

What We Offer You

At EY, we empower you to shape your future with confidence through professional growth, personal fulfillment, and an inclusive culture. Our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time‑off options.

Pay

• New York City, Boston, Washington DC Metro Areas, Washington State, and Southern California offices – $173,900 to $290,100
• Bay Area, California offices – $181,200 to $302,100
• All other U.S. offices (including Sacramento) – $144,900