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Our risk operations platform is the internal workspace where several hundred analysts investigate and remediate high-stakes cases across Intuit's money-movement businesses - payments, payroll and banking, lending, compliance, and onboarding. Decisions made there determine whether a small business gets its funds released, its account restricted, or its onboarding approved.

The platform is in the middle of its biggest shift since it was built. AI agents now sit in front of the case queue, handling thousands of cases a week. Over the next year that moves from a bolt-on to the front door of the product: That changes what the analyst's job *is*. They stop gathering data and start exercising judgment on what an AI already assembled. Nobody has designed that product yet - not the AI-authored case brief, not the analyst-agent collaboration model, not the trust and escalation surfaces, not what happens to the legacy widgets the AI just made irrelevant.

You will own that experience end to end as a key partner in setting design strategy, working with a platform mindset across multiple squads. It is the hardest kind of AI design problem: high-stakes, regulated, expert users, real consequences for being wrong, and years of accumulated platform fragmentation to untangle.


Responsibilities

Design strategy: Set the vision and the frameworks and principles that guide it, before the deliverables. Drive the end-to-end experience of a complex, multi-team domain.
Designing for trust in AI: Make automated reasoning legible and give people a clear path to accept, override, or escalate a machine decision.
Systems thinking: Design reusable capabilities rather than one-off features, and know the design system well enough to stretch it deliberately.
Interaction design: Own and visualize the end-to-end flows and hold consistency of patterns and mental models across teams.
AI acumen: Design through working prototypes rather than static mocks, using AI-assisted tooling to move from concept to something testable quickly.
Customer obsession: Get in front of users regularly, get to the "why" behind their behavior, and hold the team accountable to it.
Influence: Balance inquiry with a clear point of view, decide once input is sufficient, and tell the story credibly to senior leadership.
Technical and data fluency: Challenge constraints rather than absorb them, and tie design outcomes to the metrics the business runs on.
Design leadership: Lead experience reviews and craft forums beyond your own projects, mentor designers, and raise the bar for product and engineering partners.

We are seeking a visionary and hands-on Staff AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses to thrive. In this role you will define, design, and build groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.

You will collaborate closely with cross-functional experts across AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.

As a Staff Scientist you set technical direction beyond your own projects. You are a builder-scientist - a creative thinker who develops novel model architectures and training paradigms and also drives their implementation and validation in real-world applications - and you raise the scientific bar for the teams around you. You will help shape the AI foundation that powers transformative products serving millions of customers.


Responsibilities

Set technical direction. Define the technical strategy and roadmap for next-generation agentic and foundation-model systems, and drive innovation and scientific excellence across the organization.

Build foundational models and agents. Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.

Advance the science. Explore novel approaches in large-scale pretraining, fine-tuning (SFT and RLFT/GRPO), retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.

Solve real financial work. Build intelligent agents that understand financial data, customer context, and business workflows - from bookkeeping and autonomous accounting to planning, communication, and insight generation.

Leverage Intuits data moat. Turn Intuits unique ecosystem signals - counterparty behavior, two-sided transaction visibility, and business twins - into defensible modeling advantages.

Ship end-to-end. Take work from experimentation to production, owning evaluation frameworks and metrics that prove real-world impact.

Elevate others. Mentor scientists and engineers, review technical designs, and grow the craft of the wider team - a core expectation at the Staff level.

Collaborate across functions. Partner with AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.

Share knowledge. Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology.

If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for elegant, state of the art technology which drives impact and creates awesome user experiences, this is the job for you.

You will collaborate with many teams in Intuit and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.

In this role, youll:

Be part of a vibrant team of Data Scientists and ML Engineers

Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques

Help automate, deliver, monitor, and improve GenAI solutions