3 days ago
Base Salary
$166k - $238k/yr
Responsibilities
- Design and deliver complex components for shared Security AI runtime, orchestration, evaluation, telemetry, and applied quality systems.
- Own features end to end from requirements and architecture through implementation, testing, integration, deployment, and continuous improvement.
- Build reusable agent capabilities including execution, governed tool use, context and memory, shared APIs, trace analysis, evaluation frameworks, and experimentation systems.
- Develop agents supporting grounding, reasoning, planning, delegation, human oversight, traceability, and safe failure handling.
- Improve AI behavior using golden datasets, offline and online evaluations, production traces, trajectory analysis, regression gates, and model, prompt, or tool experiments.
- Design secure deployments across cloud, on-premises, sovereign-cloud, and air-gapped environments, including data residency, restricted connectivity, packaging, and upgrades.
- Implement identity propagation, authorization, tenant isolation, policy enforcement, privacy, auditability, and permission-aware actions.
- Diagnose failures across models, prompts, tools, data, orchestration, services, infrastructure, and product integrations.
- Contribute to architecture, technical direction, code quality, testing, reviews, documentation, and engineering standards.
- Collaborate with cross-functional Cisco and Splunk teams, mentor engineers, and improve engineering practices and knowledge sharing.
Requirements
- At least 5 years of experience developing, testing, and/or operating production software.
- Production software-engineering experience developing in Python and/or Golang.
- A bachelor’s degree plus 8 years of related experience, a master’s degree plus 6 years of related experience, or a PhD plus 3 years of related experience.
- Preferred experience developing and operating production AI, agentic, or distributed systems, including agent runtimes, orchestration, shared APIs, context and memory, evaluation frameworks, experimentation systems, or production tracing.
- Preferred experience with LLM and agentic-system concepts including 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 integrating shared technologies across large organizations and familiarity with Cisco, Splunk, or comparable security, data, and AI platforms is preferred.
- Demonstrated responsible use of AI-assisted engineering with attention to validation, code quality, security, privacy, intellectual property, and human accountability is preferred.
Benefits
- Remote position restricted to U.S. locations.
- Benefits include medical, dental, and vision insurance, a 401(k) plan with Cisco matching contribution, paid parental leave, disability coverage, and basic life insurance.
- Employees may be eligible for Cisco restricted stock unit grants.
- Paid time off includes holidays, floating and wellness days, birthday time, year-end shutdown, vacation or flexible vacation, sick time, family emergency leave, and optional volunteer days.
- Non-sales employees may be eligible for annual bonuses.
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.