Principal AI Developer, Experience Architect

🕒 April 29

🇺🇸 United States – Remote

💵 $216k - $260k / year

⏰ Full Time

🔴 Lead

🤝 Developer Relations (DevRel)

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SentinelOne

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

SentinelOne is a leader in autonomous cybersecurity, known for its innovative use of AI across endpoint, cloud, and identity protection solutions. It is recognized by Gartner as a leader in the Magic Quadrant for Endpoint Protection Platforms for four consecutive years. SentinelOne's Singularity platform integrates enterprise security, offering features like AI-powered threat detection, endpoint and cloud security, vulnerability management, and threat intelligence. The company supports various industries by delivering real-time protection and operational efficiency while leveraging AI for advanced threat hunting and log analytics. With a strong focus on reducing risk and enhancing security performance, SentinelOne caters to enterprises worldwide with secure, scalable solutions.

📋 Description

• 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.

🎯 Requirements

• 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

• 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