AI Product Engineer Cisco Domain SME

Hi,



I hope you're doing well. I had a chance to review your profile and wanted to discuss a full-time hire position with our client a major Systems Integrator.



Please review the JD below and let me know if you would be interested in exploring the opportunity.

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

Location: Remote

Job Type: Fulltime

Job Description

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 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

Thanks & Regards,

Sumit Goyal

Lead Recruiter