Principal Architect, AI-Native Developer Experience

This is a fully remote position, open to applicants in Arizona, +12 more locations.

📋 Description

• Establish the technical vision, reference architecture, and incremental roadmap for AI-native development; document key decisions in Architecture Decision Records (ADRs)

• Monitor emerging models, agents, and developer tools; conduct experiments and proofs of concept; convert successful methods into supported patterns

• Define and advocate for agentic engineering practices, such as specification-driven development, context engineering, and reviewing agent-generated code

• Create shared libraries of skills, tools, and Managed Cloud Platform (MCP) servers; promote practices through demonstrations, playbooks, and communities of practice

• Design agentic workflows encompassing triage, implementation, review, testing, and remediation with risk-based autonomy and human-in-the-loop safeguards

• Develop engineering and product knowledge layers, including code intelligence, service catalogs, architecture records, domain models, and business rules

• Establish standards for agent-ready domains and assist teams in identifying and addressing gaps

• Revamp Continuous Integration/Continuous Deployment (CI/CD) for agent-authored changes with intelligent test selection, merge queues, automated quality and security checks, and progressive delivery

• Enhance development environments, onboarding processes, documentation, and the internal developer portal for engineers and agents

• Evaluate developer experience and productivity to inform investment decisions

• Collaborate with Security, Privacy, and Quality Engineering on permissions, sandboxing, audit trails, AI costs, and quality assurance

• Write production code and reference implementations; collaborate with architects and senior engineers; mentor other engineers

⛳️ Requirements

• Bachelor’s degree in computer science or a related field, or equivalent experience

• Minimum of 10 years of software engineering experience, with at least 7 years in software architecture or senior technical leadership roles

• Daily, hands-on experience with AI coding agents, demonstrating a history of translating that into practices or tools adopted by other engineers

• Experience in developing production Large Language Model (LLM) systems, including tool calling, agent orchestration, context engineering, retrieval-augmented generation (RAG), and evaluations

• Extensive experience in designing CI/CD, build systems, and developer platforms at scale

• Solid understanding of SaaS architecture fundamentals and proficiency in PHP, React, and MySQL

• Familiarity with the OWASP Top 10, particularly in relation to LLM applications, and supply chain security

• Proven ability to influence architects and senior engineers without direct authority

• Strong judgment in ambiguous problem-solving scenarios and excellent communication skills, including the capability to provide and receive direct feedback

• Employment is contingent upon successful completion of background and credit checks

🏝️ Benefits

• Comprehensive health, life, and disability insurance

• 4 weeks of vacation

• 12 company holidays

• Parental leave

• Volunteer time off

• 401k plan with up to 6% company match

• $2000 Paid-Paid Vacation bonus

• Employee Assistance Program (EAP) through Headspace

• Opportunities for professional development

• Flexible work arrangements