Base Salary
$189k - $255k/yr
Responsibilities
- Own the architecture and technical strategy for LLM-backed discovery, agentic workflows, orchestration flows, and deterministic versus model-driven decision logic.
- Lead complex cross-team initiatives from ambiguous requirements through production launch and iteration.
- Write, review, and improve production code across services and application logic.
- Establish production LLM practices covering prompt and context design, latency and cost management, guardrails, and quality measurement.
- Define correctness evaluations using expert-graded rubrics, automated evaluations, and tax-accuracy dimensions.
- Partner with product, design, tax experts, data science, and platform teams on roadmaps, model serving, data, and infrastructure dependencies.
- Identify and resolve reliability, performance, and scalability risks and contribute to incident response and operational excellence.
- Mentor senior and mid-level engineers and influence technical standards beyond the immediate team.
Requirements
- At least 8 years of software engineering experience and a track record leading large-scale, high-impact systems.
- Deep expertise building and operating production services with strong proficiency in Java, Scala, Python, or a similar language.
- Experience building AI or ML-powered product features, ideally involving LLMs, agentic systems, or retrieval.
- Strong system design skills and sound architecture decision-making under ambiguity and competing constraints.
- Demonstrated technical leadership, cross-functional alignment, and mentoring without relying on formal authority.
- Experience with AI production concerns including evaluation, latency and cost tradeoffs, monitoring, and quality and safety guardrails.
- Ability to work in high-accuracy domains where outputs must be verifiable; tax, finance, or regulated-domain experience is a plus.
- Excellent communication skills for explaining technical tradeoffs to technical and non-technical partners.
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- Position may be eligible for a cash bonus, equity rewards, and benefits under applicable plans and programs.
- Expected base pay range is $188,500–$255,000 annually for San Diego.
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.