Join the Intuit Customer Success organization as a Senior Staff Data Scientist – Agentic AI on the Data Science & Analytics team. In this role, you’ll help shape the next generation of Agentic AI capabilities that empower our experts and customers across Intuit’s ecosystem.

We’re building an Agentic AI Framework to make data analytics AI-native—embedding agents into dashboards, reports, and workflows to augment decision-making, democratize knowledge, and accelerate speed-to-insight across the Customer Success ecosystem.

You’ll play a key role in designing and implementing advanced AI solutions that bring this vision to life—working across data science, engineering, and product teams to turn innovative ideas into scalable, production-ready systems.

This role is ideal for a seasoned data scientist with strong AI/ML engineering experience, passionate about applying advanced AI technologies to real customer problems. You thrive at the intersection of customer success, data science and applied AI development, building solutions that empower experts and customers alike. In this position, you’ll be central to our mission of using AI to help people save time, make smarter decisions, and deliver exceptional outcomes at scale.

Responsibilities

• Drive the design, development, and scaling of agentic AI capabilities that embed autonomous reasoning and decision support into dashboards, reports, and workflows—powering intelligent, data-driven analytics across the Customer Success ecosystem.
• Develop and deploy AI software components, including large language model inference, context engineering, vector embeddings & semantic search, evaluation, governance, and observability.
• Define and refine technical requirements for AI models, agent orchestration logic, and human-in-the-loop processes—balancing user experience with the precision required in high-stakes decision environments.
• Drive the application of AI in BI, embedding AI agents into analytics tools and workflows to automate insight generation and enable natural language interaction with business data.
• Collaborate with cross-functional partners—including data scientists, engineers, product managers, and senior leaders—to translate strategic goals into scalable, high-impact AI solutions.
• Champion best practices in applied ML/AI through robust evaluation, monitoring, and experimentation frameworks that ensure reliability, transparency, and ethical integrity of deployed systems.
• Build strong partnerships and influence roadmaps across teams to ensure cohesive strategy and execution for agentic AI initiatives.
• Mentor and elevate peers across the data science and engineering community, fostering a culture of innovation, technical excellence, and continuous learning.

Qualifications

• BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.

• 10+ years of experience in data science and machine learning with a proven ability to deliver production-grade ML/AI solutions.

• Strong Hands-on experience developing agentic AI workflows using modern Python-based frameworks (e.g., LangGraph, LlamaIndex, or similar) to build systems that integrate large language models, RAG, contextual reasoning, and dynamic tool or data integration for real-world applications.

• Deep understanding of agentic AI concepts, such as orchestration, memory management, context engineering, vector embeddings and semantic search, and evaluation/observability frameworks that enable autonomous reasoning and workflow automation.

• Experience developing and deploying services and APIs in cloud-native environments (e.g., AWS or GCP)

• Demonstrated success in cross-functional collaboration partnering with data scientists, engineers, and product teams to translate complex AI capabilities into impactful solutions.

• Excellent communication, collaboration, and problem-solving skills, with the ability to work effectively across technical and non-technical teams.

• Ability to present complex technical concepts clearly, conducting meetings and presentations that make AI and data science topics accessible to diverse audiences.

• Bonus: familiarity with the Model Context Protocol (MCP) and its use in connecting AI systems with external tools, data sources, and contexts to enable richer, more adaptive agentic workflows.

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: 

Bay Area $204,500-$276,500