Cyber Manager: AI Security, Identity

Deloitte • Jersey City, NJ

5d • $134,500 - $265,100

About The Position

As a Manager on Deloitte’s Cyber for AI Identity team, you will lead client engagements that secure how AI agents, workloads, and users authenticate, receive permissions, and access enterprise tools and data. You will translate business and risk objectives into target architectures, guide teams from assessment through implementation, and remain directly involved in critical design and engineering decisions. You will also shape solutions during pursuits and help build reusable delivery assets.

Deloitte’s Cyber for AI team helps organizations secure generative AI and agentic systems from design through production. It brings together AI engineering and cybersecurity capabilities across identity, data, infrastructure, application security, and operations. The Identity capability focuses on identifying, authenticating, authorizing, and governing agents, workloads, and people across enterprise and cloud environments, embedding security controls into platforms and delivery lifecycles.

The role involves leading identity security assessments, design workshops, and implementation programs; developing architectures and controls for AI and agentic systems; managing client engagements and cross-functional dependencies; contributing to technical reviews and issue resolution; shaping pursuit solutions; and coaching practitioners. Recruiting for this role ends on 05/31/2027. The position is available in 50 listed U.S. locations. The stated estimated wage range is $134,500 to $265,100, with geographic differentials not reflected in the estimate. The employee may also be eligible for a discretionary annual incentive, subject to program rules and applicable factors.

Requirements

• At least 6 years of cybersecurity experience, including at least 1 year of artificial intelligence engineering experience.
• Consulting experience leading client-facing technology or cybersecurity engagements, including scope, teams, timelines, quality reviews, and executive communication.
• Experience architecting and leading production generative AI and/or agentic implementations across models, orchestration, identity, data, and infrastructure.
• Experience with identity security patterns and integrating cloud IAM and AI platforms with enterprise identity providers, IGA, PAM, CIEM, secrets management, and API security technologies in AWS, Azure, and/or GCP.
• Experience architecting and implementing non-human identity, workload identity, delegated authorization, secrets, and privileged-access controls.
• Experience applying OAuth 2.0 or 2.1, OpenID Connect, token exchange, PKI, mTLS, and RBAC/ABAC or relationship-based access control.
• Experience reviewing or developing identity integrations and policy automation using Python, TypeScript, Java, and/or Go, with APIs, JSON or YAML, Git, and CI/CD practices.
• Ability to travel 20–50% on average, depending on work and clients or industries served.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field.
• Ability to work independently and collaboratively, communicate effectively in writing and verbally, and maintain attention to detail and quality.
• Ability to build professional relationships, lead projects or workstreams, prioritize multiple tasks in a fast-paced environment, meet deadlines, and mentor and guide others.

Nice To Haves

• Experience across managed AI services and self-hosted or open-weight AI platforms.
• Experience with AI threat modeling, red teaming, security evaluations, secure AI development practices, or AI-specific monitoring.
• Experience building reusable technical assets, delivery methods, or automation for use across client engagements.
• Experience with machine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow.
• Experience with agent-focused identity capabilities, including Microsoft Entra Agent ID or Model Context Protocol (MCP) authorization, or with policy engines, identity graphs, or authorization platforms such as Open Policy Agent (OPA), Cedar, OpenFGA, or Neo4j.
• Preferred credentials: CISSP; CCSP; cloud certifications from Azure, AWS, or Google Cloud; or identity certifications from Okta, Ping, SailPoint, Saviynt, or CyberArk.

Responsibilities

• Lead identity security assessments, design workshops, and implementation programs for generative AI and agentic systems.
• Translate business, risk, and platform requirements into target architectures for agent identity, workload identity, delegated access, and lifecycle governance.
• Participate directly in design reviews, policy and integration decisions, critical configuration or code reviews, and resolution of high-risk technical issues.
• Develop reusable identity patterns, automation, and delivery methods.
• Manage engagement scope, teams, milestones, quality, and client expectations; coordinate identity dependencies across AI engineering, data, cloud, network, application security, and operations teams.
• Shape solutions during pursuits through workshops, demonstrations, proofs of concept, estimates, and delivery plans.
• Coach practitioners on engineering quality.

Benefits

• Broad range of employee benefits (specific benefits are not listed).
• Opportunities for professional development, including on-the-job learning, formal development programs, mentorship, and leadership opportunities.
• May be eligible for a discretionary annual incentive program, subject to its rules and applicable factors.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager