Distinguished Software Engineer, AI Software & Platform

Cisco

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$293,900–$406,800 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Oct 5, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $350k
$138k most similar roles pay here $436k

This role pays more than 98% of similar roles. Most pay $176,000–$246,962 — the shaded band above. At the midpoint, this role pays about $350k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 196 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 196 roles with salary data.

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At a glance

TL;DR · Distinguished Software Engineer, AI Software & Platform

Distinguished Software Engineer, AI Software & Platform joins the AI Software & Platform team to drive the transition toward an AI-native infrastructure. This role serves as a primary technical architect and strategic advisor, defining the long-term vision for agentic systems including multi-agent orchestration, planning loops, and durable execution patterns. The position involves negotiating build-versus-buy trade-offs at the executive level, establishing engineering standards for the organization, and resolving complex "black box" technical challenges. Key responsibilities include managing LLM-based production systems, evaluation infrastructure like LangSmith or Arize Phoenix, and ensuring security against prompt injection. Required expertise includes distributed systems, high-throughput data architectures, AIOps domains such as event correlation and root cause analysis, and inference optimization techniques like speculative decoding. The role addresses the challenge of evolving enterprise networking and security to handle agentic workflows at a worldwide scale.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

What you'll do

  • Define and champion the enterprise-wide technical strategy for multi-agent systems and durable execution patterns.
  • Negotiate build-versus-buy trade-offs with executive leadership regarding model frameworks and infrastructure investments.
  • Drive the adoption of industry-standard interfaces like Model Context Protocol across the product portfolio.
  • Establish and enforce engineering standards and reference architectures while mentoring senior technical staff.
  • Resolve complex, high-risk "black box" technical challenges by prototyping and proving new methodologies.
  • Manage the security posture of agentic systems, including prompt injection defense and sandboxing.
  • Bridge the gap between emerging AI research and reliable production implementation for global scale.

What we're looking for

  • Bachelor's degree in computer science or related field with 17+ years experience; Master's with 14+ years; or PhD with 10+ years.
  • 10+ years of experience designing and scaling distributed systems, hyperscale cloud platforms, or high-throughput data architectures.
  • 5+ years in a Principal-level role demonstrating sustained technical influence across multiple engineering organizations.
  • Hands-on experience building and operating LLM-based production systems including model lifecycle, evaluation infrastructure, and security.
  • Experience designing and delivering production-grade multi-agent systems.
  • Expertise in AIOps domains such as event correlation, root cause analysis, and closed-loop remediation at scale (preferred).
  • Deep knowledge of inference optimization techniques like speculative decoding, KV/prefix caching, and model distillation or routing (preferred).
  • Recognized thought leadership through patents, published research, or significant open-source contributions (preferred).

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