Principal Architect, AI-Native Developer Experience

About this role

**Principal Architect, AI-Native Developer Experience** *Remote position available in the state(s) listed on this job. Employment with BambooHR is contingent on passing both a background and credit check.* ## AI at BambooHR BambooHR is integrating AI into its solutions and workflows to enhance efficiency and drive innovation. We’re looking for people who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work. ## Essential Job Duties As Principal Architect for AI-Native Developer Experience, you’ll lead the architecture for how BambooHR engineers and agents build software together—from the tools and context agents rely on to the pipelines that validate their work. You will: - **Set the direction:** Define the technical vision, reference architecture, and incremental roadmap for AI-native development; document key decisions in ADRs. - **Experiment and prove it out:** Track emerging models, agents, and developer tools; run time-boxed experiments and proofs of concept; turn what works into supported patterns and retire what doesn’t. - **Establish and champion agentic engineering practices:** Define how engineers work with coding agents (spec-driven development, context engineering, review of agent-generated code); build a shared library of skills, tools, and MCP servers; evangelize via demos, playbooks, and communities of practice. - **Automate the SDLC with agents:** Architect agentic workflows from triage through implementation, review, testing, and remediation, with autonomy levels and human-in-the-loop guardrails set by risk and backed by evals. - **Build the knowledge layers:** Provide accurate, current context through engineering and product knowledge layers (code intelligence, service catalogs, architecture records, domain models, business rules). - **Make domains agent-ready:** Define standards for agent-ready domains (clear boundaries, documented APIs, agent-callable tools, fast tests, ephemeral environments) and help teams close gaps. - **Reimagine CI/CD for the AI era:** Redesign pipelines for the volume of agent-authored changes with intelligent test selection, merge queues, automated quality/security gates, and progressive delivery. - **Rethink the core developer experience:** Modernize development environments, onboarding, documentation, and the internal developer portal for engineers *and* agents; measure developer experience and productivity to guide investments. - **Govern for trust and cost:** Partner with Security, Privacy, and Quality Engineering on agent permissions, sandboxing, and audit trails; track AI cost and quality. - **Lead hands-on and through others:** Write production code and reference implementations; partner with architects and staff engineers across domains to land changes; mentor engineers in agentic skills. ## What You Need to Get the Job Done - Bachelor’s degree in computer science (or related) **or** equivalent experience - **10+ years** software engineering experience, including **7+** in software architecture or staff-plus technical leadership - Daily, hands-on use of AI coding agents; proven ability to turn that into practices/tools other engineers adopt - Experience building production LLM systems (tool calling, agent orchestration, context engineering, RAG, evals) - Deep experience designing CI/CD, build systems, and developer platforms at scale - Strong SaaS architecture fundamentals and fluency in **PHP, React, MySQL**

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