AI Product Engineer Cisco Domain SME (CCIE/CCNP Certified)

Job Description

Job Description

AI Product Engineer Cisco Domain SME (CCIE/CCNP Certified)

San Jose, CA

Job Description

Must Have Technical/Functional Skills
" CCIE Certified (Enterprise Infrastructure / Wireless / Security) - MUST
" Whitepaper publication in the networking forum - MUST
" Deep, hands-on expertise in Cisco Network (Wired / Wireless) OR Cisco Security Products
(Firewall, Client and related security portfolio)
" Proven experience working with Cisco TAC on Tier 2 / Tier 3 customer escalations
" Ability to critically review, rate and provide structured, actionable feedback on technical products
" Hands-on scripting experience (Python, Bash, TCL or similar) for validation, testing and automation
" Familiarity with AI assistants (Claude, Codex) trainable for strong SMEs as part of onboarding

Roles & Responsibilities
We are looking for Cisco-certified subject matter experts (SMEs) who will operate at the intersection of deep
networking / security expertise and applied AI. In this role, you will evaluate AI-generated technical outputs,
rate product quality, provide expert feedback, and directly contribute your domain knowledge to strengthen
and remediate the underlying AI models. This is a unique opportunity for seasoned Cisco engineers to shape
next-generation AI products we will train qualified SMEs on the AI tooling and depute them into the product
engineering pipeline
" Domain Expertise (SME): Serve as an SME across Cisco Network (Wired / Wireless) and/or Cisco
Security Products (Firewall, Client and related security portfolio), providing authoritative technical judgment.
" AI Product Review & Rating: Review and rate AI-developed products and outputs for technical accuracy,
completeness and real-world applicability; provide structured, actionable feedback.
" Model Enrichment & Remediation: Contribute domain knowledge to improve the AI model identify
gaps, correct erroneous outputs and drive remediation to continuously raise product quality.
" TAC-Grade Problem Solving: Apply hands-on troubleshooting experience equivalent to Tier 2 / Tier 3 TAC
support, ensuring AI outputs meet escalation-level customer standards.
" Scripting & Automation: Use scripting to validate, test and automate evaluation workflows and reproduce
technical scenarios.
" AI-Assisted Engineering: Work with modern AI development assistants such as Claude and Codex to review,
generate and refine technical content (training provided).