Senior Director, AI Engineering Productivity and Developer Experience

Cisco

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $337,100–$426,700 / yr
Posted: 3 days ago
Closes: Jul 10, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $382k

$149k most similar roles pay here $456k

This role pays more than 99% of similar roles. Most pay $185,075–$246,150 — the shaded band above. At the midpoint, this role pays about $382k versus about $216k 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 170 open roles on FindRole.

Listed pay typically runs $168,800–$241,400 across 170 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · Senior Director, AI Engineering Productivity and Developer Experience

Role Posting Log in to save

As the Senior Director of AI Engineering within Cisco’s Security Business Group (SBG), you will lead a world-class team of engineers and architects in transforming how Cisco protects enterprises through AI-driven security solutions. Your day-to-day involves defining an AI-first engineering strategy, driving innovation by integrating AI into development workflows to enhance productivity and code quality, and overseeing the deployment of internal AI platforms like Codex and Claude CLI. You will need extensive experience in leading large-scale engineering teams, creating AI/ML products from concept to production, and a deep understanding of cyber and network security principles. This role requires expertise in hybrid cloud infrastructure, MLOps frameworks, and ethical AI practices, with a focus on delivering measurable business value through AI-augmented workflows.

Skills

AI ML Codex Claude CLI AWS Azure GCP MLOps Cyber Security Network Security SASE SWG XDR SOAR Firewall Identity CI/CD Python R Java Kubernetes

What you'll do

Define and execute the long-term AI engineering strategy for security products.
Lead a large multi-disciplinary team to drive an "AI-first" culture in engineering.
Integrate AI-assisted development tools to enhance developer productivity and quality.
Design and deploy internal AI platforms to optimize engineering workflows and efficiency.
Champion AI-driven methodologies across the organization to solve complex challenges.

What we're looking for

15+ years of software engineering experience with at least 6 years in senior leadership managing large-scale engineering teams.
Extensive hands-on experience creating and optimizing workflows using AI-assisted development tools like Codex and Claude CLI.
Proven track record of taking AI/ML products from concept to large-scale production, particularly in SaaS or security environments.
Deep expertise in hybrid cloud infrastructure (AWS, Azure, GCP) and modern MLOps frameworks for deploying AI at scale.
Solid understanding of cyber and network security principles and the application of AI in modern security operations.

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