AI Product Engineer Cisco Domain SME

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.

This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.

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

• 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

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).

Generic Managerial Skills, If any

Program Management kills