Principal Architect, AI Developer Experience Platform

SentinelOne

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$216,000–$300,000 / yr
Posted
145 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k
This role $258k
$151k most similar roles pay here $316k

This role pays more than 75% of similar roles. Most pay $186,670–$258,250 — the shaded band above. At the midpoint, this role pays about $258k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About SentinelOne

SentinelOne is a cybersecurity company that provides an AI-powered extended detection and response (XDR) platform. Its Singularity platform delivers autonomous endpoint, cloud, and identity protection for enterprises.

SentinelOne currently has 45 open roles on FindRole.

Listed pay typically runs $156,000–$215,000 across 31 roles with salary data.

Most-posted roles

View all roles at SentinelOne

At a glance

TL;DR · Principal Architect, AI Developer Experience Platform

As the Principal Architect, AI Developer Experience Platform, you will serve as the technical authority for the AI engineering layer, designing how enterprise-grade AI coding assistants and LLM platforms integrate into internal workflows. You will architect the end-to-end infrastructure for AI-augmented development, ensuring that AI-generated code is trustworthy and performant across a large developer organization. Your daily responsibilities include defining architecture for context management, prompt design, and automated guardrails using AST analysis and policy-as-code. You will manage vendor evaluations, lead the integration of AI-powered code reviews into CI/CD pipelines, and establish coding standards for security and reliability. The role requires expertise in LLM context window design, retrieval strategies, and prompt engineering. You will solve complex problems regarding how large-scale organizations can safely adopt AI tools while maintaining strict compliance and performance standards.

What you'll do

  • Architect the end-to-end infrastructure for AI-augmented development including LLM platforms and IDE integrations.
  • Design systems for large-context LLMs to consume codebase documentation across hundreds of repositories.
  • Establish and enforce automated coding standards, prompt templates, and policy-as-code for all AI tools.
  • Lead the integration of AI-powered code review tools using AST analysis and static/dynamic checks.
  • Serve as the primary technical owner for evaluating and integrating third-party AI developer tooling.
  • Create internal frameworks and training materials to drive developer adoption of AI-assisted workflows.
  • Track and report on engineering metrics like DORA, MTTR, and ROI resulting from AI tool implementation.
  • Ensure all AI tools comply with security, data residency, and FedRAMP requirements.

What we're looking for

  • 10+ years of experience in software engineering, platform/dev tools, or infrastructure engineering.
  • Experience operating at Staff or Principal level in a 300+ engineer product organization.
  • 3+ years of experience designing and shipping LLM-powered developer tools or workflows in production environments.
  • Proven track record of architecting developer platforms or large-scale internal tooling for hundreds of engineers.
  • Deep understanding of LLM context window design, retrieval strategies, and prompt engineering at scale.
  • Hands-on experience integrating enterprise AI coding assistants 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, progressive delivery, and security/compliance for SaaS and AI/ML systems.

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