Principal AI Developer Experience Architect
$216,000–$260,000 year
RemoteUnited States
Job Summary
Architect the AI Engineering Layer by defining end-to-end architecture for enterprise-grade AI coding assistants and LLM platforms integrated with IDEs, CI/CD pipelines, and internal platforms. Establish reusable patterns for agentic workflows with clear rollback and validation strategies while defining SentinelOne AI Coding Standards and a global skills framework enforced via policy-as-code. Lead the integration of AI-powered code review tools using AST analysis and static/dynamic checks to enforce standards before human review, correlating signals with SRE observability stacks. Serve as the principal technical owner for vendor evaluations, ensuring all tooling meets security, privacy, and FedRAMP compliance requirements. Drive developer adoption by publishing guidance, patterns, and internal frameworks that make AI tooling a seamless part of everyday work, partnering with the AI Champions Network to define curricula and hands-on labs. Collaborate across the developer community to translate adoption signals into DORA metrics and ROI narratives for Engineering Leadership and Finance.
Required Qualifications
- 10+ years in software engineering, platform/dev tools, or infrastructure engineering
- 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
- Must be able to lift 50 lbs
Desired Qualifications
- Master's degree preferred
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