JobHabor

Principal AI Developer Experience Architect

SentinelOne

Location
United States
Workplace
Remote
Employment
Full Time
Salary
USD 216,000–260,000/yr
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Posted 1mo ago

Principal AI Developer Experience Architect @ SentinelOne | Jobright.ai

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SentinelOne · 3 weeks ago

Principal AI Developer Experience Architect

United States

Full-time

Remote

Lead/Staff

$216K/yr - $260K/yr

10+ years exp

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. As a Principal AI Developer Experience Architect, you will serve as the technical authority for the AI engineering layer, designing how enterprise-grade AI coding assistants integrate into engineering workflows and ensuring that AI-generated code is trustworthy and reliable.

Artificial Intelligence (AI)Cyber SecurityNetwork SecuritySecurity

Growth OpportunitiesNo H1B

Responsibilities

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 (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

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 to enforce style, security, performance, and reliability standards before human review

Integrate AI review signals with our SRE observability stack (logs, metrics, traces) to correlate code changes with incidents and anomalies, closing the loop from PR to production behavior

Encode “safety as code” by integrating test coverage, performance scans, and progressive delivery patterns (canaries, blue/green) 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 that make AI tooling a seamless part of everyday work rather than a side experiment

Partner with the AI Champions Network and Learning & Development to define curricula, hands-on labs, and “day‑in‑the‑life” workflows that level up prompt engineering and AI‑assisted development skills across developer organizations

Collaborate across the SentinelOne developer community to translate adoption and productivity signals into DORA metrics and ROI narratives that are credible to Engineering Leadership, Finance, and the CFO

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

Qualification

Large language models (LLMs)AI coding assistantsIntegrated development environments (IDEs)Git hosting platformsAbstract syntax tree (AST) code analysisStatic code analysisDynamic code analysisPolicy-as-codeContinuous integration/continuous delivery (CI/CD)Progressive deliverySecurity and compliance for SaaS and AI/ML systemsDeveloper platform architecturePrompt engineering

Required

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

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

Experience acting as a cross‑org technical leader

aligning Staff/Principal engineers, EMs, and PMs around a shared architecture and standard

Comfortable presenting technical tradeoffs and ROI to senior leadership, and defending architecture choices with data

Proven ability to mentor and partner with the entire Product and Technology organization to deliver complex multi‑quarter programs

Excellent written and verbal communication skills; able to produce clear design docs, evaluation criteria, and developer‑facing guidance that drive alignment at scale

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

Company

SentinelOne

Glassdoor

4.4

AI-powered enterprise cybersecurity platform.

Founded in 2013

Mountain View, California, USA

1001-5000 employees

http://www.sentinelone.com

Funding

Current Stage

Public Company

Total Funding

$696.52M

Key Investors

Tiger Global ManagementInsight PartnersRedpoint

2021-06-30Post Ipo Equity

2021-06-30IPO

2020-11-11Series F

  • $267M

Leadership Team

Tomer Weingarten

Co-founder / CEO

David Gold

VP, Global Field CTO/CISO

Recent News

BW DisruptSunil Sapra & The Art Of Multiplying Impact

2026-09-06

MarketScreenerSentinelOne CEO on Earnings, AI's Cybersecurity Impact

2026-08-31

GlobesSentinelOne falls sharply after cutting guidance

2026-08-31

Company data provided by crunchbase

Skills

  • Large language models (LLMs)
  • AI coding assistants
  • Integrated development environments (IDEs)
  • Git hosting platforms
  • Abstract syntax tree (AST) code analysis
  • Static code analysis
  • Dynamic code analysis
  • Policy-as-code
  • Continuous integration/continuous delivery (CI/CD)
  • Progressive delivery
  • Security and compliance for SaaS and AI/ML systems
  • Developer platform architecture
  • Prompt engineering

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