1 day ago
Base Salary
$149k - $282k/yr
Responsibilities
- Design and deliver components across shared Security AI runtime, orchestration, evaluation, and applied quality.
- Build reusable agent execution, governed tool-use, context and memory, shared API, telemetry, evaluation, trace-analysis, and experimentation capabilities.
- Develop agents supporting grounding, reasoning, planning, delegation, human oversight, traceability, and safe failure handling.
- Use datasets, evaluations, production traces, trajectory analysis, regression gates, and model, prompt, or tool experiments to improve AI behavior.
- Design and operate capabilities across cloud, on-premises, sovereign-cloud, and air-gapped environments.
- Implement identity propagation, authorization, tenant isolation, policy enforcement, privacy, auditability, and permission-aware actions.
- Own substantial features through requirements, design, implementation, testing, integration, deployment, and continuous improvement.
- Contribute to architecture, technical direction, code quality, testing, documentation, mentoring, and cross-functional delivery.
Requirements
- At least 5 years of experience developing, testing, and/or operating production software.
- Production software engineering experience developing with Python and/or Golang.
- Preferred experience with production AI, agentic, or distributed systems, including agent runtimes, orchestration, shared APIs, context and memory, evaluation, experimentation, or tracing.
- Preferred ability to design, implement, debug, and maintain complex production-grade systems.
- Preferred experience with LLM and agentic-system concepts such as grounding, retrieval, planning, delegation, tool use, human oversight, behavioral evaluation, and regression analysis.
- Preferred experience delivering containerized or cloud-native software across public cloud, on-premises, sovereign-cloud, or air-gapped environments.
- Familiarity with SOC, SIEM, detections, incidents, investigations, response, identity, authorization, policy, privacy, tenancy, and auditability is preferred.
- Experience with Cisco, Splunk, or comparable security, data, and AI platforms is preferred.
- Demonstrated responsible use of AI-assisted engineering with attention to validation, quality, security, privacy, intellectual property, and human accountability.
Benefits
- Hybrid role requiring limited on-site work at a Cisco office in the Pacific Time Zone, preferably in Seattle, San Jose, or San Francisco.
- Medical, dental, and vision insurance; 401(k) with Cisco matching; paid parental leave; disability coverage; and basic life insurance, subject to eligibility.
- Potential eligibility for Cisco restricted stock units and annual bonuses for non-sales roles.
- Paid holidays, floating holiday, birthday day off, year-end shutdown, personal wellness days, vacation or flexible vacation, sick time, family emergency leave, and optional volunteer days.
- The posting includes a stated application closing date of September 30, 2026.
Categories
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.