Drimva

Intuit

Principal Engineer, AI Solutions

$248K–$335K

San Diego, California +2 · Principal · Full-time · Posted Oct 29, 2026

Location
San Diego, California
Mountain View, California
Frisco, Texas
Experience
8+ years of software engineering experience; includes meaningful time leading engineering managers or leads. No separate duration stated for management experience.
Education
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

About the job

Leads the engineering organization that builds and operates production AI systems for Intuit’s commercial business, setting technical direction, delivery practices, and team growth.

What you'll do

  • Lead and develop engineering teams, set technical direction, and plan organizational capacity across AI initiatives.
  • Own production delivery, reliability, quality, and decisions to build, pivot, or stop projects.
  • Partner with product management and business stakeholders to turn priorities into technical roadmaps and communicate progress and tradeoffs.

What they ask for

  • 8+ years of software engineering experience, including meaningful time leading engineering managers or leads at Group Manager / Senior Manager level.
  • Hands-on technical depth in modern AI and agentic systems, including LLMs, RAG, agent orchestration and tool use, and prompt engineering.
  • Track record of shipping production AI systems under real delivery pressure.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Nice to have

  • Experience building enterprise-grade AI solutions, such as RAG pipelines, multi-agent systems, content generation, or compliance/QA automation.
  • Background in fintech, SaaS, or brand/creative technology; experience leading strategic or organizational pivots or managing managers.

Pay

San Diego $247,500 - $335,000 (base salary)

Tools

LLMs, RAG, agent orchestration, tool use, prompt engineering

AI focus

Leads development of production AI and agentic systems, including experimentation, reusable infrastructure, and enterprise applications for the commercial business.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)