Agentic Ai Engineer Jobs

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Sr. Staff SWE - Splunk Security Core AI Agentic SOC (hybrid)

Cisco•San Jose, CA
•$214,100 - $309,800•Hybrid

About The Position

As a Senior Staff Software Engineer on Cisco’s Security Core AI team, you will build shared platforms, orchestration, and evaluation systems that enable trusted AI agents across Cisco and Splunk security products. The role helps define how agentic security operates across public cloud, on-premises, sovereign cloud, and air-gapped environments, with reliability, control, auditability, and customer trust as core requirements. You will help develop reusable agent runtime and orchestration capabilities, governed tool use, context and memory, evaluation systems, trace analysis, and quality gates. You will work with security-domain experts to translate SOC and security operations needs into shared mechanisms, establish measurable and metrics-driven development practices, and connect AI quality measures to production behavior and customer outcomes. The position combines hands-on implementation and design reviews with technical leadership, cross-team influence, and mentoring.

Requirements

  • 6+ years of experience developing, testing, and/or operating production software.
  • Experience building and/or operating large-scale distributed or AI-enabled production systems.
  • Experience programming with Python or Go.
  • Bachelor’s degree plus 10 years of related experience, or master’s degree plus 6 years of related experience, or PhD plus 3 years of related experience.

Nice To Haves

  • Experience with LLM and agentic-system concepts including grounding, planning, tool use, memory, human oversight, evaluation, tracing, and regression analysis.
  • Demonstrated experience defining AI metrics, building evaluation and experimentation loops, and connecting offline results to production behavior and customer outcomes.
  • Experience delivering software across public cloud, on-premises, sovereign cloud, or air-gapped environments.
  • Familiarity with SOC, SIEM, detections, incidents, investigations, response, identity, policy, privacy, and auditability.
  • Demonstrated success leading cross-team technical initiatives, adopting shared technologies, mentoring senior engineers, and using AI responsibly throughout the software development lifecycle.

Responsibilities

  • Shape technical direction and lead ambiguous, cross-team Agentic SOC capabilities from concept through measurable production improvement.
  • Design and build reusable capabilities spanning agent runtime, orchestration, governed tool use, context and memory, evaluation systems, trace analysis, and quality gates.
  • Translate SOC, SIEM, detection, incident, investigation, and response needs into shared mechanisms in partnership with security-domain experts.
  • Design agents and supporting systems for grounded reasoning, planning, delegation, human oversight, traceability, auditability, and safe failure handling.
  • Define measurable success criteria for AI capabilities, including task completion, groundedness, tool-use correctness, trajectory quality, human intervention, safety, latency, cost, and reliability.
  • Establish closed-loop, metrics-driven development using golden datasets, offline and online evaluations, production traces, SME and customer feedback, experiments, and regression gates.
  • Connect AI quality metrics to production behavior and customer outcomes, identifying signals that are incomplete, misleading, or vulnerable to optimization without meaningful improvement.
  • Architect for public cloud, on-premises, sovereign cloud, and air-gapped environments, addressing data residency, restricted connectivity, local model and tool availability, packaging, upgrades, and resource constraints.
  • Establish patterns for identity propagation, authorization, tenant isolation, policy enforcement, privacy, auditability, and permission-aware actions.
  • Evaluate, integrate, and drive adoption of technologies across Splunk and Cisco, contributing security requirements and reusable improvements.
  • Leverage AI tools throughout requirements, design, coding, review, testing, documentation, debugging, release, and production improvement, with appropriate human validation and security, privacy, and intellectual-property controls.
  • Diagnose failures spanning models, prompts, tools, data, orchestration, services, infrastructure, and product integrations.
  • Remain hands-on in implementation and design reviews, raise engineering standards, and mentor and influence senior engineers across teams.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan with Cisco matching contribution
  • Paid parental leave
  • Short-term disability coverage
  • Long-term disability coverage
  • Basic life insurance
  • Paid holidays
  • Floating holiday for non-exempt employees
  • Paid birthday day off
  • Paid year-end holiday shutdown
  • Personal wellness days
  • Flexible vacation time off for eligible exempt employees
  • Paid vacation time for non-exempt employees
  • Paid sick time
  • Additional paid time away may be requested for critical or emergency family issues
  • Optional paid volunteer days
  • Annual bonuses for eligible non-sales employees
  • Potential Cisco restricted stock unit grants

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