Principal AI Developer Experience Architect

SentinelOne

17h

About The Position

SentinelOne is seeking a Principal AI Developer Experience Architect to serve as the technical authority for the AI engineering layer. This role involves designing how enterprise-grade AI coding assistants and LLM platforms integrate into engineering workflows. The architect will own the strategy and architecture to ensure AI-generated code is trustworthy, performant, and reliable for an organization of over 800 developers. Key areas of focus include security, governance, context management, prompt design, and AI-driven code review, ensuring the AI tooling investment is measurably impactful.

Requirements

10+ years in software engineering, platform/dev tools, or infrastructure engineering, with significant experience 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 their interaction 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.

Responsibilities

Architect the AI Engineering Layer: Define the end-to-end architecture for AI-augmented development, integrating AI coding assistants and LLM platforms with IDEs, CI/CD pipelines, and internal platforms. Design how large-context LLMs consume codebase and documentation, ensuring AI assistance scales safely across hundreds of repositories. 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 for all AI coding tools. Translate these standards into prompt templates, tool configurations, and policy-as-code for automatic enforcement. Partner with InfoSec, Data Governance, and Legal to ensure AI tooling adheres to AI Policies, data residency, and FedRAMP compliance.
Implement AI-Driven Code Review and Safety as Code: Lead the integration of AI-powered code review tools using AST analysis and static/dynamic checks. Integrate AI review signals with the SRE observability stack to correlate code changes with incidents. 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 criteria and data-driven analysis. Design and run POCs, define technical success criteria, and produce executive recommendations. Ensure 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, publishing guidance, patterns, and internal frameworks. Partner with the AI Champions Network and Learning & Development to define curricula and workflows for prompt engineering and AI-assisted development. Collaborate 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 and align AI DevEx roadmaps. Own engineering intelligence dashboards and leadership reports on AI tooling impact.

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