AI Product Engineer Cisco Domain SME
$120k - $130kSFE
Please review the JD below and let me know if you would be interested in exploring the opportunity.
Job Description
Role-AI Product Engineer
Location- Remote
Job Type:- Fulltime/Permanent
Salary- $120K to $130K Per Year + Benefits
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, 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).
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