Principal Architect, AI-Native Developer Experience

bamboohr17; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health coverage

Life coverage

Disability coverage

Paid leave

Retirement contributions

Wellbeing support

Job summary

BambooHR17 is seeking a senior technical leader to steer the AI-enabled software development experience. The role blends architecture with hands-on engineering, defining shared practices, prototypes, and production systems to strengthen the full software delivery lifecycle.

You will define architecture, evaluate models and tools through experiments, set coding-agent practices, and design workflows with appropriate safeguards.

Qualifications

• A relevant degree or equivalent practical experience.
• At least 10 years in software engineering, including 7+ years in architecture or senior leadership.
• Hands-on use of AI coding agents, with evidence of turning that experience into practices or tools adopted by other engineers.
• Experience delivering production LLM systems, including agent coordination, tool use, context design, retrieval, and evaluation.
• Strong CI/CD experience and the ability to design, prototype, implement, and guide complex technical changes.
• Ability to work across engineering and partner teams, mentor others, and balance technical quality, delivery speed, security, and cost.

Responsibilities

• Define architecture and roadmap for AI-supported engineering, recording key decisions and evolving the plan as tools and evidence change.
• Evaluate models, agents, and developer tools through focused experiments; turn successful approaches into supported patterns.
• Set practices for working with coding agents, including task specification, context design, code review, shared tools, and team learning.
• Design agent workflows across triage, implementation, testing, review, and remediation, with safeguards and human review appropriate to risk.
• Improve the context available to engineers and agents through maintained code, service, architecture, and product knowledge.
• Modernize development environments and delivery pipelines, partnering across teams on testing, security, deployment, measurement, and adoption.

Job description

Role overview

Lead the technical direction for an AI-enabled software development experience where engineers and coding agents work together. The role combines architecture and hands-on engineering: establishing shared practices, building prototypes and production systems, and helping teams adopt approaches that improve the full software delivery lifecycle.

Responsibilities

• Define the architecture and roadmap for AI-supported engineering, recording key decisions and evolving the plan as tools and evidence change.
• Evaluate models, agents, and developer tools through focused experiments; turn successful approaches into supported patterns.
• Set practices for working with coding agents, including task specification, context design, code review, shared tools, and team learning.
• Design agent workflows across triage, implementation, testing, review, and remediation, with safeguards and human review appropriate to risk.
• Improve the context available to engineers and agents through maintained code, service, architecture, and product knowledge.
• Modernize development environments and delivery pipelines, partnering across teams on testing, security, deployment, measurement, and adoption.

Requirements

• A relevant degree or equivalent practical experience.
• At least 10 years in software engineering, including at least 7 years in architecture or senior technical leadership.
• Regular hands-on use of AI coding agents, with evidence of turning that experience into practices or tools adopted by other engineers.
• Experience delivering production LLM systems, including agent coordination, tool use, context design, retrieval, and evaluation.
• Strong experience with CI/CD and the ability to design, prototype, implement, and guide complex technical changes.
• Ability to work across engineering and partner teams, mentor others, and balance technical quality, delivery speed, security, and cost.

Benefits and work setup

The role is remote in specified locations.

• health, life, and disability coverage
• paid leave and holidays
• retirement contributions
• wellbeing support

Employment is subject to background and credit checks.