AI / Agentic Identity Engineer

Kforce has a client seeking a AI/Agentic Identity Engineer in Miami, FL (Florida).

Summary: We are seeking a senior-level Security Engineer to support a strategic initiative to establish an identity and access management (IAM) program for AI agents, treating each agent as a governed non-human identity (NHI) with a tracked owner, a pre-approved permission set (persona), and strong workload identity. This includes both consumer-facing and internal agentic services.

This role sits at the intersection of agentic AI security, identity and access management, and large-scale application security. The engineer will help design and operationalize runtime guardrails, identity-aware authorization, and policy enforcement across both guest-facing and internal systems.

This is not a traditional application security role. The ideal candidate is comfortable securing non-deterministic systems, tool-calling agents, and identity-driven control planes, while grounding solutions in proven web, API, and edge-security principles.

8+ years of experience in security engineering, application security, or platform security

Proven experience delivering enterprise IAM/non-human identity solutions

Strong foundation in web applications and API security

Experience designing fine-grained least-privilege access models for distributed systems

Experience working with AI-enabled or automation-heavy systems

Familiarity with risks unique to agentic or autonomous systems

Ability to reason about non-deterministic execution and enforce deterministic controls

MCP Security Standards and agent runtime authorization

Experience with WAFs, API gateways, and edge security controls

Familiarity with cloud-native architectures and service-to-service security

Non-Human Identity (NHI) lifecycle management in highly dynamic environments

Deep working knowledge of OAuth 2.0/2.1, OIDC, token exchange (OBO), and modern token security (PKCE, audience binding, short-lived tokens)

Experience with workload identity: SPIFFE/SPIRE, mTLS, and PKI/certificate-based authentication

Experience with secrets management and eliminating static/long-lived credentials

Solid grasp of Zero Trust, least privilege, and identity lifecycle/recertification

Ability to work closely with product, platform, AI/ML, and identity teams

Strong written and verbal communication skills

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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