Principal AI Developer Experience Architect
SentinelOne
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 216,000–260,000/yr
Posted 1mo ago
Principal AI Developer Experience Architect @ SentinelOne | Jobright.ai
Principal AI Developer Experience Architect jobs in United States
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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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