Principal AI Developer Experience Architect
Core
Technical authority for the AI engineering layer, designing enterprise-grade AI coding assistants and LLM platforms integrated into engineering workflows to ensure trustworthy, performant, and reliable AI-generated code for an 800+ developer organization.
Role type
Principal AI Developer Experience Architect
Builds
Enterprise AI coding assistants, LLM platforms, AI-driven code review tools, and developer experience frameworks
Domain
Cybersecurity / AI Engineering / Developer Tools
Deliverable
production ML models | product features | infrastructure
Required skills
LLM context window design, retrieval strategies, prompt engineering at scale, AST-based code analysis, static/dynamic analysis, policy-as-code, CI/CD integration, security and compliance for SaaS/AI systems
Preferred skills
Experience acting as a cross-org technical leader, presenting technical tradeoffs and ROI to senior leadership, mentoring Product and Technology organizations
Technologies
LLM platforms, IDEs, Git hosting platforms, SRE observability stacks, AST analysis tools
Responsibilities
Define end-to-end architecture for AI-augmented development; Design how large-context LLMs consume codebase and documentation; Establish reusable patterns for agentic workflows; Define and maintain AI Coding Standards and global skills framework; Lead integration of AI-powered code review tools; Serve as principal technical owner for AI developer tooling evaluations; Drive developer adoption and experience; Partner on reliability, metrics, and governance
Seniority
Principal, strategy & mentorship
