Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer As organizations adopt generative AI, securing the access of AI agents, models, and automated workflows to enterprise systems and data has become a core engineering challenge. As an Identity & Gen AI Engineer, you will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non‑human identities and governing how AI agents and GenAI platforms reach data and downstream systems. This role focuses on hands‑on engineering, integration, and continuous enhancement of AI solutions in which identity and access controls are a first‑class concern. Responsibilities Build and integrate generative AI solutions—including LLM applications, retrieval‑augmented generation, and AI agents—with secure access to data and downstream systems. Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non‑human identities operating across enterprise and cloud environments. Develop guardrails for agentic workflows, including scoped permissions, least‑privilege access, credential and secrets management, and runtime policy enforcement. Implement logging, monitoring, and governance to provide traceability and accountability for AI system actions. Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations. Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems. Required Qualifications Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field. 3+ years of software engineering experience with Python or a comparable language. 1+ year of hands‑on experience building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval‑augmented generation (RAG), or AI agents—including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor. Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign‑on (SSO), and standards such as OpenID Connect (OIDC), Security Assertion Markup Language (SAML), OAuth, and JSON Web Token (JWT). Ability to work onsite up to 5 days a week. Ability to travel 15% on average. Ability to obtain and maintain the necessary security clearance. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred Qualifications Experience deploying generative AI solutions to production environments. Hands‑on experience with identity and access management platforms such as SailPoint, Okta, or Microsoft Entra ID. Experience securing non‑human or machine identities, service accounts, secrets, and credentials using tools such as HashiCorp Vault or CyberArk. Experience with AI agent frameworks and protocols such as LangChain, LangGraph, or Model Context Protocol (MCP). Experience with fine‑grained authorization or policy‑as‑code using tools such as Open Policy Agent (OPA), Cedar, or OpenFGA. Familiarity with AI and LLM security risks such as the OWASP Top 10 for LLM Applications, prompt injection, and excessive agency. Experience applying AI governance and risk frameworks such as the NIST AI Risk Management Framework (AI RMF). 2+ years of experience building or deploying workloads in cloud environments such as Amazon Web Services (AWS) and Microsoft Azure. Certifications such as CISSP, CCSP, or cloud‑engineering certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect. 1+ year of experience supporting federal government environments. 1+ year of experience with infrastructure‑as‑code or automation technologies such as Terraform or Ansible. Location and Travel Requirements Hybrid work model requiring residence within commutable distance to a Deloitte US Delivery Center location (Gilbert, Lake Mary, or Mechanicsburg) or Geo‑Hub locations (Atlanta, Charlotte, Dallas, Houston, and Philadelphia). Co‑location expectation: Spend up to 30% of working time at an assigned office. Maximum of 10% overnight travel for client or project purposes. If relocation is necessary, complete the move within 12 weeks from the start date. Equal Opportunity 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. Requisition code: 357713 #J-18808-Ljbffr Relha LLC