Principal AI Developer Experience Architect

Details

As a Principal AI Developer Experience Architect, you will serve as the technical authority for SentinelOne’s AI engineering layer. You will design how enterprise-grade AI coding assistants and LLM platforms integrate into engineering workflows for an organization of more than 800 developers. You will own the strategy and architecture needed to ensure AI-generated code is trustworthy, performant, reliable, secure, governed, and measurably impactful across context management, prompt design, and AI-driven code review.

Responsibilities

Architect the AI Engineering Layer

• Define the end-to-end architecture for AI-augmented development, integrating enterprise-grade AI coding assistants and LLM platforms with IDEs, CI/CD pipelines, and internal platforms.
• Design how large-context LLMs consume codebase and documentation context across hundreds of repositories.
• Establish reusable patterns for agentic workflows with rollback and validation strategies.

Own AI Guardrails, Skills, and Standards

• Define and maintain AI coding standards and a global skills and requirements framework covering language, framework, security, performance, and reliability patterns.
• Translate standards into prompt templates, tool configurations, and policy-as-code so they are automatically enforced.
• Partner with InfoSec, Data Governance, and Legal to ensure compliance with AI policies, data residency requirements, and FedRAMP requirements.

Implement AI-Driven Code Review and Safety as Code

• Lead the integration of AI-powered code review tools using AST analysis and static and dynamic checks.
• Integrate AI review signals with SRE observability stacks, including logs, metrics, and traces, to correlate code changes with incidents and anomalies.
• Integrate test coverage, performance scans, and progressive delivery patterns such as canary and blue/green deployments into AI-authored change flows.

Lead Vendor Evaluation and Integration

• Own evaluations of AI developer tooling using structured criteria and data-driven analysis.
• Partner with DevEx leadership and the TPM to design and run proofs of concept, define technical success criteria, and produce executive-ready recommendations.
• Ensure vendors meet security, privacy, and data governance standards.

Drive Developer Adoption and Experience

• Publish guidance, patterns, and internal frameworks that integrate AI tooling into everyday engineering work.
• Partner with the AI Champions Network and Learning & Development to define curricula, hands-on labs, and workflows that improve prompt engineering and AI-assisted development skills.
• Translate adoption and productivity signals into DORA metrics and ROI narratives for 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 DevEx governance to prioritize initiatives, manage risk, and align AI DevEx roadmaps with company objectives.
• Own engineering intelligence dashboards and leadership reports measuring the impact of AI tooling on developer productivity.

Requirements

Experience

• 10+ years of experience in software engineering, platform or developer tools, or infrastructure engineering.
• Significant experience operating at Staff or Principal level in a product organization with more than 300 engineers.
• 3+ years designing and shipping LLM-powered developer tools or workflows in production.
• Proven experience architecting developer platforms or large-scale internal tooling used by hundreds of engineers.

Technical Skills

• Deep understanding of LLM context-window design, retrieval strategies, prompt engineering at scale, and 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 and dynamic analysis, and policy-as-code for automated pull-request review.
• Solid understanding of CI/CD systems, progressive delivery, and embedding AI into delivery pipelines.
• Strong grounding in security and compliance for SaaS and AI/ML systems.

Leadership and Collaboration

• Experience acting as a cross-organizational technical leader and aligning Staff and Principal engineers, Engineering Managers, and Product Managers around shared architectures and standards.
• Ability to present technical tradeoffs and ROI to senior leadership and defend architecture decisions with data.
• Proven ability to mentor and partner across Product and Technology to deliver complex, mult-quarter programs.
• Excellent written and verbal communication skills, including the ability to create design documents, evaluation criteria, and developer-facing guidance.

Benefits

• Restricted Stock Units and Employee Stock Purchase Plan.
• Flexible time off, paid company holidays, paid sick time, gender-neutral parental leave, and grandparent leave.
• Medical, dental, and vision coverage; 401(k) with company match; life and disability insurance; health and dependent care FSA; voluntary benefits; Employee Assistance Program; prepaid legal; pet insurance; Cancer Care program; and global business travel medical insurance.
• Home office allowance and mobile phone reimbursement.
• Wellness coach, wellness and gym reimbursement, fertility coverage, and adoption and surrogacy reimbursement.

This is a U.S. role with a location-dependent base salary range. SentinelOne participates in the E-Verify Program for U.S.-based roles and is an Equal Employment Opportunity and Affirmative Action employer.