Director of Engineering - AI Solutions

Own Every Moment at Net App

At Net App, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, Net App is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

We are looking for an innovative Director of Engineering – AI Solutions for Developer Productivity to transform how our software engineers build, test, and deploy code. In this high-impact role, you will lead the strategy and execution of AI-driven platform tools, intelligent coding assistants, automated code review agents, and automated pipeline workflows. Your goal is to build an internal AI ecosystem that removes developer friction, eliminates repetitive tasks, and measurably boosts engineering velocity across our global technology team.

AI Developer Tooling Strategy

• Internal Platform
  
  Roadmap:
  
  Define and drive the vision for AI-infused internal developer tools, including LLM code-generation assistants, intelligent CI/CD diagnostic agents, automated code migration tooling, and dynamic documentation systems.
• Productivity Metrics (Core 4, DORA & SPACE):
  Use established Developer Experience KPIs to introduce AI initiatives/solutions that increase overall engineering output.

Team Leadership & Platform Delivery

• Engineering Management:
  Lead, recruit, and mentor a team of Machine Learning/AI Engineers (builders, scalers and maintainers) to work closely with the Platform Engineers, and Dev Ex Engineers to develop AI based productivity solution.
• Ecosystem Integration:
  Partner with Infrastructure, Dev Eng, and Security teams to seamlessly integrate AI tools into developer IDEs, version control systems, and CI/CD pipelines.
• Prompt & Context Architecture:
  Oversee the architecture of code indexing, vector databases, and Retrieval-Augmented Generation (RAG) pipelines that feed repository context securely into internal LLMs.

Governance, Security & Adoption

• Code Privacy & Security:
  Work closely with Security and Compliance to implement AI based solution that enforce guardrails around IP protection, secret scanning, license compliance, and secure code generation.
• Change Management & Enablement:
  Champion the adoption of AI tools across engineering teams; establish internal training programs, hackathons, and best practices to help every engineer become an AI-augmented developer.

Technical Expertise

• AI & LLM Integration: 3+ years integrating Generative AI, code-trained LLMs, or agentic frameworks such as Lang Chain, Auto Gen, LiteLLM, Kong, True Foundry or custom RAG pipelines into practical developer workflows.
• Software & Platform Foundations: 8+ years of core software engineering experience, with a background in Developer Experience (Dev Ex), Internal Developer Platforms (IDP), or CI/CD infrastructure.
• Developer Ecosystems:
  Deep familiarity with modern IDEs, AI Code Assist, quality and security AI code scanning tools, AI solutions for test harness, code review, etc.
• System Architecture:
  Solid understanding of vector search engines, embedding models for code representation, and LLM fine-tuning techniques.

Leadership & Soft Skills

• Leadership Track Record: 5+ years managing engineering teams at the Engineering Manager, Senior Manager, or Director level, with a strong emphasis on platform engineering or…