[Hiring] Principal AI Developer Experience Architect @SentinelOne

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, 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.
• Own AI Guardrails, Skills, and Standards
  • Define and maintain SentinelOne AI Coding Standards and a global skills & requirements framework that all AI coding tools must enforce.
  • Translate these standards into prompt templates, tool configurations, and policy‑as‑code.
  • Partner with InfoSec, Data Governance, and Legal to ensure all AI tooling adheres to SentinelOne’s AI Policies, data residency, and FedRAMP compliance requirements.
• Implement AI-Driven Code Review and Safety as Code
  • Lead the integration of AI-powered code review tools that use AST analysis and static/dynamic checks.
  • Integrate AI review signals with our SRE observability stack to correlate code changes with incidents and anomalies.
  • Encode “safety as code” by integrating test coverage, performance scans, and progressive delivery patterns into AI‑authored change flows.
• Lead Vendor Evaluation and Integration
  • Serve as the principal technical owner for AI developer tooling evaluations using structured evaluation criteria and data-driven analysis.
  • Work closely with the DevEx leadership and TPM to design and run POCs, define technical success criteria, and produce executive‑ready recommendations.
  • 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: publish guidance, patterns, and internal frameworks.
  • Partner with the AI Champions Network and Learning & Development to define curricula, hands-on labs, and workflows.
  • Collaborate across the SentinelOne developer community to translate adoption and productivity signals into DORA metrics and ROI narratives.
• Partner on Reliability, Metrics, and Governance
  • Work with SRE and Reliability Engineering to ensure AI‑accelerated delivery improves MTTR, CFR, and SLO performance.
  • Participate in the DevEx governance model to prioritize initiatives, manage risk, and align AI DevEx roadmaps with company objectives.
  • Own the engineering intelligence dashboards and leadership reports to surface the impact of AI tooling on developer productivity metrics.

Qualifications

• 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.

Requirements

• 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.
• Strong grounding in security and compliance for SaaS and AI/ML systems.

Benefits

• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid company holidays
• Paid sick time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events, including regular happy hours and team-building events