Cyber Senior Consultant: AI Security, Identity

Deloitte • Baltimore, MD • 3h ago

As a Sr. Consultant: AI Security, Identity in our Cyber for AI team, you will lead technical workstreams for secure artificial intelligence (AI) agents and workloads including how users authenticate, receive permissions, and access enterprise tools and data. You will combine client advisory and hands-on engineering to design architectures, integrations, and production controls; guide junior practitioners; lead demonstrations; and support delivery estimates.

Recruiting for this role ends on 05/31/2027.

The team

Deloitte's Cyber for AI team helps organizations secure generative AI and agentic systems by embedding security controls in platforms and delivery lifecycles. The Identity capability focuses on how agents, workloads, and people are identified, authenticated, authorized, and governed across enterprise and cloud environments while managing access, data, and infrastructure risk.

Work you'll do

As a Sr. Consultant: AI Security, Identity on the Identity team, you will be responsible for:

Lead discovery sessions to map user-to-agent-to-tool access paths, privilege boundaries, and identity lifecycle requirements.

Design identity architectures and integrations for AI agents and workloads, including federation, credentialless access, delegated authorization, policy enforcement, and connections across cloud and enterprise platforms.

Engineer and review token exchange, on-behalf-of access, consent, session controls, and just-in-time privilege patterns; test production controls and resolve authentication and authorization issues.

Own identity workstreams, manage dependencies and delivery milestones, and guide consultants.

Lead technical demonstrations and proto@types and contribute architecture, effort, and estimation inputs to pursuits.

Qualifications

3-5+ years of cybersecurity experience, including 1+ year of artificial intelligence (AI) security engineering experience.

Required:

Production work designing, integrating, and securing generative AI, RAG, or agentic workloads with model, tool, and enterprise data connections.

Designing and implementing identity controls for service accounts & principals, managed identities, workload federation, secrets, and short-lived credentials for one or more public cloud platforms.

Implementing OAuth 2.0 or 2.1, OpenID Connect, SAML, SCIM, JWT, token exchange, PKI, mTLS, including delegated and on-behalf-of access patterns.

Implementation experience with identity, identity governance, privileged access, cloud IAM, and secrets-management platforms. (i.e. MS Entra, AWS IAM / STS, Google Cloud IAM, Okta, Ping, SailPoint, Saviynt, CyberArk, and/or HashiCorp Vault.

Building or reviewing identity integrations or automation using Python, TypeScript, Java, and/or Go with APIs, JSON or YAML along with Git, and CI/CD practices.

Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field; alternatively, equivalent demonstrated experience.

Ability to travel 20-50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Previous consulting, client delivery, or customer-facing engineering experience, including developing reusable technical assets, guiding junior engineers, or contributing to engineering standards.

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 with machine learning tools / 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.

Certifications (preferred)

Certified Information Systems Security Professional (CISSP)

Certified Cloud Security Professional (CCSP)

Cloud certifications from Azure, AWS, Google Cloud.

Identity certifications from Okta, Ping, SailPoint, Saviynt, or CyberArk.

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team

Effective written and verbal communication skills

Meticulous attention to detail and quality of work product

Ability to build and sustain professional relationships

Ability to lead projects or workstreams

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

Strong interpersonal skills and professional demeanor

Ability to meet deadlines

Ability to provide clear guidance to others

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 - $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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