Senior Staff Engineer: Agentic Identity & AI Security

Cisco Systems, Inc

United States

Remote

USD 214,000 - 310,000

Full time

2 days ago

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Benefits offered by this job

Medical insurance

401(k) plan with Cisco match

Parental leave

Disability coverage

Life insurance

Job summary

Cisco Systems, Inc is seeking a Technical Leader to architect and build core identity and access management capabilities for AI agents across cloud, on-premises, and hybrid environments. You will lead strategy from concept to production, translating complex identity challenges into enterprise-grade software that supports non-human callers and autonomous agents.

You will design scalable IAM frameworks, deliver developer tooling and APIs, and partner with Security, AI Platform, Product, and Cloud

Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 12+ years of software engineering experience, or a Master’s degree with 8+ years of relevant experience.
10+ years of experience designing and building distributed systems, backend services, or security platforms in production environments.
5+ years of experience implementing enterprise identity, authentication, or access protocols (such as OAuth 2.0/2.1, OIDC, SAML, SCIM, LDAP, SPIFFE, or mTLS).
4+ years of experience with containerization technologies (Docker, containerd, or Kubernetes) and at least one major cloud platform (AWS, Azure, or GCP).
3+ years of experience with security engineering principles, including threat modeling, attack-path analysis, or security architecture reviews.

Responsibilities

Design and implement scalable identity and access management frameworks for AI agents, including token exchange, credential brokering, workload identity, and delegated access models.
Deliver Developer Tooling & APIs: Build reusable APIs, SDKs, CLI tools, and integration patterns to enable seamless adoption across platform and product teams.
Drive Cross-Functional Alignment: Partner with Security, AI Platform, Product, and Cloud Operations teams to align identity architecture with operational constraints and customer workflows.
Lead Technical Excellence: Set architectural direction, conduct design and code reviews, establish engineering standards for non-human identity, and mentor engineering talent.
Deliver Production MVPs: Rapidly prototype solutions for ambiguous identity and security problems, validate them with internal and external partners, and iterate them into scalable production services.