Principal AI Developer Experience Architect

Role Description

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. Your work will ensure our AI tooling investment is secure, governed, and measurably impactful across context management, prompt design, and AI-driven code review.

What Will You Do?

• Architect the AI Engineering Layer
  • Define the end‑to‑end architecture for AI-augmented development at SentinelOne.
  • Design how large-context LLMs consume our codebase and documentation context.
  • Establish reusable patterns for agentic workflows with clear rollback and validation strategies.
• Own AI Guardrails, Skills, and Standards
  • Define and maintain SentinelOne AI Coding Standards and a global skills & requirements framework.
  • Translate these standards into prompt templates, tool configurations, and policy‑as‑code.
  • Partner with InfoSec, Data Governance, and Legal to ensure compliance with AI Policies.
• Implement AI-Driven Code Review and Safety as Code
  • Lead the integration of AI-powered code review tools.
  • Integrate AI review signals with our SRE observability stack.
  • Encode “safety as code” by integrating test coverage and performance scans.
• Lead Vendor Evaluation and Integration
  • Serve as the principal technical owner for AI developer tooling evaluations.
  • Work closely with the DevEx leadership and TPM to design and run POCs.
  • Ensure all vendors meet SentinelOne’s security, privacy, and data governance standards.
• Drive Developer Adoption and Experience
  • Act as the technical face of AI DevEx to engineering.
  • Partner with the AI Champions Network and Learning & Development.
  • Collaborate across the SentinelOne developer community to translate adoption signals into DORA metrics.
• Partner on Reliability, Metrics, and Governance
  • Work with SRE and Reliability Engineering to ensure AI‑accelerated delivery improves performance.
  • Participate in the DevEx governance model to prioritize initiatives.
  • Own the engineering intelligence dashboards and leadership reports.

Qualifications

• 10+ years in software engineering, platform/dev tools, or infrastructure engineering.
• 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.

Requirements

• Deep understanding of LLM context window design and retrieval strategies.
• Hands-on experience integrating at least one enterprise AI coding assistant into IDEs.
• Strong background in AST-based code analysis and policy-as-code for automated PR review.
• Solid understanding of CI/CD systems and progressive delivery.
• Strong grounding in security and compliance for SaaS and AI/ML systems.

Benefits

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)
• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave
• Grandparent leave
• Medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Life and disability insurance
• Health and dependent care FSA
• Voluntary benefits (hospital, accident, critical illness)
• Employee Assistance Program (EAP)
• ARAG pre-paid legal
• Nationwide pet insurance
• Cancer Care program
• Global business travel medical insurance
• Home office allowance
• Mobile phone reimbursement
• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement