Principal AI Developer Experience Architect

About the role

As a Principal AI Developer Experience Architect, you will serve as the technical authority for the AI engineering layer at SentinelOne , designing how enterprise-grade AI coding assistants and LLM platforms integrate into our engineering workflows. You will own the strategy and architecture that ensures AI-generated code is trustworthy, performant, and reliable by default for an 800+ developer organization.

What you'll do

• Define the end‑to‑end architecture for AI-augmented development at SentinelOne , centered on enterprise-grade AI coding assistants and LLM platforms integrated with our IDEs, CI/CD pipelines, and internal platforms.
• Design how large-context LLMs consume our codebase and documentation context so that AI assistance scales safely across hundreds of repos.
• Establish reusable patterns for agentic workflows with clear rollback and validation strategies.
• Define and maintain SentinelOne AI Coding Standards and a global skills & requirements framework that all AI coding tools (our chosen AI coding assistants, PR bots, agents) must enforce, including language, framework, security, performance, and reliability patterns.
• Translate these standards into prompt templates, tool configurations, and policy‑as‑code so they are enforced automatically rather than via documentation alone.
• Partner with InfoSec, Data Governance, and Legal to ensure all AI tooling adheres to SentinelOne ’s AI Policies, data residency, and FedRAMP compliance requirements.
• Lead the integration of AI-powered code review tools that use AST analysis and static/dynamic checks to enforce style, security, performance, and reliability standards before human review.

Requirements

• 10+ years in software engineering, platform/dev tools, or infrastructure engineering, including significant experience operating at Staff/Principal level in a 300+ engineer product organization.
• 3+ years designing and shipping LLM‑powered developer tools or workflows in production environments.
• Proven track record of architecting developer platforms or large‑scale internal tooling used by hundreds of engineers.
• Deep understanding of LLM context window design, retrieval strategies, prompt engineering at scale, and how they interact with large polyglot codebases.
• Hands-on experience integrating at least one enterprise AI coding assistant into IDEs and Git hosting platforms.
• Strong background in AST-based code analysis, static/dynamic analysis, and policy-as-code for automated PR review.
• Solid understanding of CI/CD systems and progressive delivery and how to embed AI in those pipelines.

About SentinelOne

SentinelOne is a cybersecurity company specializing in AI-powered endpoint protection.

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