USI- Cyber- DT&P-Identity - AI Security Analyst
Deloitte
Multiple Locationsonsiteentryfull time9/16/2026
Deloitte
As a Security Engineer II specializing in Identity within Deloitte Cyber’s Cyber for AI practice, you will help clients secure how AI agents, workloads, and users authenticate, receive permissions, and access enterprise tools and data. You will work with architects and engineers to assess current-state controls, implement target-state capabilities, and test production solutions. This role combines client collaboration with hands-on technical delivery across enterprise and cloud environments.
Work you'll do
As a Security Engineer II on the Identity team, you will be responsible for:
Gather requirements and document identity flows, trust boundaries, permissions, and dependencies across users, agents, models, tools, and data sources.
Configure and integrate agent identities, service principals, managed identities, workload federation, secrets, and short-lived credentials across AI and enterprise environments.
Implement authentication and authorization controls using standards and patterns such as OAuth, OpenID Connect, token exchange, role-based access control, and policy-based access control.
Build automation for identity onboarding, access assignment, credential rotation, access review, and deprovisioning, and troubleshoot token, consent, and policy issues using platform and application logs.
Document configurations, test results, and operating procedures, and support client delivery through handoff activities, reusable patterns, prototypes, and demonstrations.
The team
Deloitte Cyber's Cyber for AI practice helps organizations secure generative AI and agentic systems from design through production. The team brings together AI engineering and cyber skills across identity, data, infrastructure, application security and operations.
We work with clients to make security controls part of the platform and delivery lifecycle, so teams can move from experiments to production without creating unmanaged access, data or infrastructure risk.
Within the practice, the Identity capability focuses on how agents, workloads and people are identified, authenticated, authorized and governed across enterprise and cloud environments.
Location: Hyderabad / Bengaluru / Chennai / Pune
Qualifications
Required:
Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
2+ years of experience in cybersecurity and AI engineering, including production work in both domains
Experience deploying or securing at least 1 production generative AI, retrieval-augmented generation (RAG), or agentic workload using a managed service or self-hosted stack
Experience with at least 1 major cloud platform, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), and identity security patterns in cloud environments
Experience securing workload or non-human identities, including service accounts, service principals, managed identities, federation, secrets, or credential lifecycle controls
Experience implementing authentication and authorization using OAuth 2.0 or 2.1, OpenID Connect, Security Assertion Markup Language (SAML), System for Cross-domain Identity Management (SCIM), JSON Web Tokens (JWT), token exchange, public key infrastructure (PKI), or mutual Transport Layer Security (mTLS)
Experience building identity integrations or automation using Python, TypeScript, Java, Go, or a comparable language, together with Representational State Transfer (REST) application programming interfaces (APIs), JSON or YAML, and Git
Preferred:
Experience in consulting, client delivery, or customer-facing engineering roles
Experience with both 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 lifecycle tools or frameworks such as PyTorch, TensorFlow, or MLflow
Experience with agent-focused identity capabilities such as Microsoft Entra Agent ID, Model Context Protocol authorization, or comparable emerging identity patterns
Experience with policy engines, identity graphs, or authorization platforms such as Open Policy Agent, Cedar, OpenFGA, or Neo4j
#Cyber_Digital Trust & Privacy
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