Ai Product Engineer Cisco Domain Sme; Ccie​/ccnp Certified

• 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, ISE 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

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, ISE 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).

Salary Range: $80,000 - $120,000 a year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, I dentity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

San Jose, CA

TECHNOLOGY

Engineer

435719

Artificial Intelligence | Product Engineering

$80,000 - $120,000