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Strong brand and metro location but senior specialized role reduces applicant density.
Specialized AI/LLM developer-platform and vendor-integration demands make cross-industry transferability limited.
Multiple mandatory senior, AI/LLM, cloud, CI/CD, and platform experience requirements make filters highly stringent.
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Own the architecture and technical strategy of Intuit's AI-powered developer platform (GenAI CodeGen ecosystem) including AI coding assistants, PR review agents, and agentic workflows.
Design and build platform components such as CodeAssist Admin Portal, cost-tracking/control systems, and analytics pipelines to measure AI tooling adoption and ROI.
Lead high-complexity design, hands-on coding (40-60%), technical evaluations of AI tools, and influence cross-functional teams and executive decisions.
10+ years experience designing and developing enterprise-scale software or backend systems.
BS/MS in Computer Science or equivalent practical experience.
Deep experience with AI/LLM frameworks, agentic workflows, and model integration (e.g., LangChain, OpenAI APIs).
Strong programming skills in Python, JavaScript/TypeScript, plus at least one OOD language; plus expertise in CI/CD, GitHub Enterprise Server, cloud infrastructure, and security best practices.
Senior-level technical leader capable of setting architectural direction and mentoring engineers on complex AI developer tooling platforms.
Experienced in hands-on development integrated with strategic vision and operational cost/governance analysis for AI tooling at enterprise scale.
Skilled in cross-functional collaboration with product, TPMs, QA, and executive leadership across distributed engineering teams.