Principal AI Developer Experience Architect

About This Opportunity

We are representing a confidential cybersecurity organization in their search for a Principal AI Developer Experience Architect. This is a unique opportunity to serve as the technical authority for AI engineering tooling in a rapidly growing product organization with 800+ developers.

In this role, you will architect how enterprise-grade AI coding assistants and LLM platforms integrate into engineering workflows, ensuring AI-generated code is trustworthy, performant, and secure by default. You will define standards, guardrails, and frameworks that make AI tooling a seamless part of the development lifecycle across hundreds of repositories.

Responsibilities

• Design the end-to-end architecture for AI-augmented development, integrating AI coding assistants and LLM platforms with IDEs, CI/CD pipelines, and internal platforms
• Architect how large-context LLMs consume codebase and documentation context to scale AI assistance safely across a polyglot environment
• Define and maintain global AI coding standards and skills frameworks that enforce language, framework, security, performance, and reliability patterns
• Translate standards into prompt templates, tool configurations, and policy-as-code for automatic enforcement
• Partner with InfoSec, Data Governance, and Legal to ensure AI tooling adheres to organizational policies, data residency, and compliance requirements including FedRAMP
• Lead integration of AI-powered code review tools using AST analysis and static/dynamic checks to enforce standards before human review
• Integrate AI review signals with SRE observability stacks to correlate code changes with production incidents and anomalies
• Encode "safety as code" by integrating test coverage, performance scans, and progressive delivery patterns into AI-authored workflows
• Serve as principal technical owner for AI developer tooling evaluations using structured criteria and data-driven analysis
• Design and run POCs, define technical success criteria, and produce executive-ready recommendations
• Act as the technical face of AI developer experience to the engineering organization, publishing guidance, patterns, and internal frameworks
• Partner with learning and development teams to define curricula and hands-on labs that build prompt engineering and AI-assisted development skills
• Translate adoption and productivity signals into DORA metrics and ROI narratives for engineering leadership and finance stakeholders
• Work with SRE and reliability engineering to ensure AI-accelerated delivery improves MTTR, change failure rate, and SLO performance
• Own engineering intelligence dashboards and leadership reports surfacing the impact of AI tooling on developer productivity

What We're Looking For

Experience:

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

Technical Skills:

• Deep understanding of LLM context window design, retrieval strategies, and prompt engineering at scale with large polyglot codebases
• Hands-on experience integrating enterprise AI coding assistants into IDEs and Git hosting platforms
• Strong background in AST-based code analysis, static/dynamic analysis, and policy-as-code for automated PR review
• Solid understanding of CI/CD systems and progressive delivery, and how to embed AI in those pipelines
• Strong grounding in security and compliance for SaaS and AI/ML systems

Leadership & Collaboration:

• Experience acting as a cross-organizational technical leader, aligning Staff/Principal engineers, engineering managers, and product managers around shared architecture and standards
• Comfortable presenting technical tradeoffs and ROI to senior leadership with data-driven recommendations
• Proven ability to mentor and partner across product and technology organizations to deliver complex multi-quarter programs
• Excellent written and verbal communication skills with ability to produce clear design documents, evaluation criteria, and developer-facing guidance

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and schedule an initial screening conversation. If there's a strong mutual fit, we will submit your profile to our client for consideration. Please apply exclusively through our platform—do not contact the client directly, as we manage the entire recruitment process on their behalf.

Pay

Pay via Get A Job.ai will be determined based on your location, experience, and the client's compensation framework. The target range for this position is $216,000–$300,000 USD base salary, with additional equity and benefits provided by the client.

Get A Job.ai is an equal opportunity recruiter. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.