Staff AI Scientist, AI Foundations

Intuit

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$209,500–$283,500 / yr
Posted
58 days ago
Freshness
Confirmed live 2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k
This role $246k
$173k most similar roles pay here $295k

This role pays more than 60% of similar roles. Most pay $197,981–$256,950 — the shaded band above. At the midpoint, this role pays about $246k versus about $227k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

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At a glance

TL;DR · Staff AI Scientist, AI Foundations

As a Staff AI Scientist on the AI Foundations team, you will design and scale LLMOps and evaluation infrastructure while championing Responsible AI principles to power generative AI capabilities across various product areas. You will be responsible for building end-to-end solutions, creating internal tooling like LLM leaderboards and benchmark suites, and managing model lifecycles for cost and reliability. Your daily work involves translating complex problems into production-ready systems, implementing RAG, prompt chaining, and orchestration techniques to solve issues in customer care, security, and financial guidance. You will utilize Python-based frameworks such as LangGraph, LlamaIndex, and LangChain to develop agentic AI workflows involving memory management and semantic search. Additionally, you will deploy ML services in cloud-native environments using AWS or GCP while collaborating with cross-functional teams to influence technical strategy and product roadmaps.

What you'll do

  • Design, develop, and deploy production-ready GenAI and machine learning models to solve complex customer problems.
  • Architect internal evaluation tools including LLM leaderboards, benchmark suites, and experimentation pipelines.
  • Implement LLMOps best practices for model lifecycle management, monitoring, and cost optimization.
  • Embed Responsible AI principles by identifying risks like hallucinations, bias, and privacy issues.
  • Apply emerging techniques such as RAG, prompt chaining, and orchestration to the GenAI platform.
  • Develop agentic AI workflows using Python frameworks for memory management, tool use, and reasoning.
  • Communicate technical AI trade-offs and strategies to both technical and non-technical leadership.
  • Mentor other scientists and engineers to foster a high-performance AI science community.

What we're looking for

  • Bachelor’s, Master’s, or PhD in Computer Science or a related field, or equivalent practical experience.
  • 8+ years of experience in applied ML/AI with a track record of delivering scalable, production-grade systems.
  • Hands-on experience with agentic AI workflows using Python frameworks like LangGraph, LlamaIndex, or LangChain.
  • Expertise in GenAI system design, including LLM integration, RAG, and evaluation/observability frameworks.
  • Experience designing APIs and deploying ML services in cloud-native environments using containerization and CI/CD.
  • Demonstrated success partnering across cross-functional teams to deliver AI features with measurable business impact.
  • Excellent communication skills for presenting complex technical ideas to both technical and non-technical audiences.
  • Strong product intuition to identify strategic opportunities for AI in user experiences and platform capabilities.

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