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AI Product Engineer — Cisco Domain SME; CCIE​/CCNP Certified

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Siri InfoSolutions Inc
Full Time position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    AI Evaluation, Cybersecurity
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: AI Product Engineer — Cisco Domain SME (CCIE/CCNP Certified)

Job Title:

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

Location:

Remote Fulltime Roles  & Responsibilities:

Must Have Technical/Functional Skills

  • CCIE (Enterprise Infrastructure / Wireless / Security) strongly preferred; CCNP-level candidates with exceptional domain depth considered
  • 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
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, 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 TACsupport, 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).

Generic Managerial Skills, If any

Program Management kills

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