Staff AI Scientist - AI Foundations
Software Engineering, Data Science
Mountain View, CA, USA
Staff AI Scientist - AI Foundations
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Overview
Come join Intuit as a Staff AI Scientist!
Intuit is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide, we believe everyone should have the opportunity to prosper—and we never stop innovating to make that possible.
Job Description
Are you passionate about creating transformative AI solutions? We’re looking for a creative and technically hands-on Staff AI Scientist to join our AI Foundations team, where we’re building state-of-the-art GenAI capabilities powering products across Intuit.
In this role, you’ll help design and scale our LLMOps and evaluation infrastructure, enable agentic AI systems, and champion Responsible AI principles—accelerating how we embed ML into everything from customer care to security and personalized financial guidance.
You’ll collaborate with a high-caliber team of ML engineers, data scientists, PMs, and architects to advance Intuit’s AI platform and ensure it drives real business and customer outcomes.
Responsibilities
Drive End-to-End AI Solutions: Lead the design, development, and deployment of GenAI and ML models. Translate complex, ambiguous customer problems into scalable, production-ready solutions with measurable impact.
Own GenAI Evaluation Frameworks: Architect internal tooling such as LLM leaderboards, benchmark suites, and experimentation pipelines to support model selection and performance tracking.
Advance LLMOps Capabilities: Define and implement best practices for model lifecycle management, spanning development, deployment, monitoring, and retraining—while optimizing for cost and reliability.
Steward Responsible AI Principles: Embed fairness, transparency, and safety into AI development by proactively identifying risks (e.g., hallucinations, bias, privacy) and collaborating on governance workflows.
Cross-Functional Leadership: Partner with PM, engineering, and design to shape product strategy and deliver GenAI capabilities aligned to user needs and business goals.
Technology Strategy & Innovation: Evaluate and apply emerging techniques (e.g., RAG, prompt chaining, orchestration) to Intuit’s GenAI platform. Influence technology decisions and help define long-term strategy.
Mentorship & Culture Building: Mentor other scientists and engineers, contributing to a high-performance, inclusive AI science community that promotes innovation and craft excellence.
- Executive Communication: Communicate AI tradeoffs and strategy clearly to technical and non-technical leaders. Influence roadmaps with data, insights, and a deep understanding of customer needs.
Qualifications
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 strong track record of delivering scalable, production-grade AI systems.
Deep hands-on experience with agentic AI workflows using modern Python-based frameworks (e.g., LangGraph, LlamaIndex, LangChain), including memory management, orchestration, semantic search, tool use, and contextual reasoning.
Expertise in GenAI system design, including LLM integration, retrieval-augmented generation (RAG), and evaluation/observability frameworks for LLMs or AI agents.
Experience designing APIs and deploying ML services in cloud-native environments (e.g., AWS, GCP), using containerization and CI/CD best practices.
Demonstrated success partnering across disciplines (PM, Eng, DS) to deliver innovative AI features with clear business/customer impact.
Excellent communication and influence skills with a track record of presenting complex technical ideas clearly to diverse audiences.
Strong product intuition and an ability to identify strategic opportunities for AI in user experiences and platform capabilities.
- Bonus: Familiarity with the Model Context Protocol (MCP) and its role in connecting AI agents with tools and external data for richer, adaptive workflows.
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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:Mountain View $209,500 - $283,500