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Lead AI/Agentic Identity Engineer

CAI

Remote · US

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About this role

Lead AI/Agentic Identity Engineer Req number: R8266 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary We are looking for a motivated Lead AI/Agentic Identity Engineer ready to take us to the next level! If you have deep expertise in identity architecture, AI agent security, OAuth/OIDC, workload identity, and Zero Trust principles, and are looking for your next career move, apply now. Job Description We are looking for a Lead AI/Agentic Identity Engineer to lead the design and implementation of an enterprise identity architecture for AI agents, autonomous workflows, and other non-human identities. The Lead AI/Agentic Identity Engineer will establish enterprise standards, governance models, and implementation blueprints that enable AI agents to operate as secure, auditable, and governed digital identities across cloud, hybrid, internal, and guest-facing environments. This position will be a contract and remote with occasional travel to Miami, FL.

Due to the specific legal and contractual requirements associated with this position, this role will be direct employment with CAI. This position does not offer work authorization sponsorship now or in the future.

What You'll Do • Define the enterprise target-state architecture for AI agent identity, authorization, governance, and auditability

• Design operational models for governed non-human identities, including ownership, lifecycle management, registration, approval, attestation, recertification, and retirement

• Create reusable reference architectures for agent onboarding, delegated access, tool invocation, runtime policy enforcement, and attribution

• Lead architecture design across identity providers, CI/CD pipelines, agent platforms, secrets management systems, API gateways, service meshes, and cloud-native workload identity services

• Develop implementation blueprints for cryptographic workload identity, including SPIFFE/SPIRE, mTLS, certificate-based authentication, short-lived credentials, and key lifecycle management

• Define authorization frameworks utilizing OAuth 2.0/2.1, OIDC, token exchange, delegated authority models, audience-bound tokens, and just-in-time access controls

• Establish architecture standards for Model Context Protocol (MCP), Agent2Agent (A2A), multi-agent orchestration, and secure tool-calling systems

• Design policy decision and enforcement models across APIs, services, workloads, and AI runtimes

• Guide implementation of runtime guardrails, including human-in-the-loop approvals, step-up authentication, revocation controls, rate limiting, transaction thresholds, and emergency stop capabilities

• Partner with security, infrastructure, platform, and application teams to align AI identity controls with Zero Trust, privileged access management, secrets management, vulnerability management, and detection engineering programs

• Define telemetry, logging, audit, and traceability requirements across user, agent, sub-agent, tool, and data access interactions

• Lead architecture reviews, threat modeling exercises, design workshops, and implementation planning sessions

• Develop executive-facing roadmaps, architecture decision records, implementation guidance, control mappings, and knowledge transfer materials

What You'll Need Required: • 10+ years of experience in enterprise security architecture, IAM architecture, cloud security, platform security, or application security

• Proven experience designing and implementing enterprise IAM, workload identity, or non-human identity solutions at scale

• Deep expertise in identity providers, OAuth/OIDC, service-to-service authentication, token security, API security, and cloud authorization frameworks

• Strong knowledge of Zero Trust architecture, least privilege principles, privileged access management, identity governance, access certification, and policy-based access control

• Experience designing secure architectures for distributed systems, APIs, microservices, containers, service meshes, and hybrid or multi-cloud environments

• Ability to design deterministic security controls for autonomous and AI-enabled systems

• Familiarity with agentic AI security concepts, AI agent runtimes, delegated authority, tool-calling frameworks, and AI-specific risks such as prompt injection, excessive agency, unsafe tool usage, and autonomous process escalation

• Experience leading cross-functional architecture workshops and translating business, security, risk, and compliance requirements into technical solutions

• Strong written and verbal communication skills with experience producing architecture documentation, design standards, implementation guides, executive summaries, and governance artifacts

Preferred: • Experience with AI agent frameworks, orchestration platforms, MCP, A2A, or emerging agent identity standards

• Experience with SPIFFE/SPIRE, workload identity federation, service mesh security, mTLS, PKI, and certificate lifecycle management

• Experience implementing policy-as-code solutions, runtime authorization frameworks, ABAC/ReBAC models, or centralized policy decision points

• Experience designing security controls for highly regulated, privacy-sensitive, SOX, PCI, or high-availability environments

• Experience developing security maturity models, capability roadmaps, governance frameworks, and executive investment strategies for emerging technologies

Physical Demands • Ability to safely and successfully perform the essential jo

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