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Senior Staff AI Scientist – Business Intelligence

Intuit · Posted Oct 8

Financial, accounting, tax preparation, and marketing automation software services

Bangalore, IndiaFull-timeHybridLead/Staff8+ years₹1.0Cr–₹1.8Cr yearly44 applicants
Financial TechnologyAccountingTax PreparationSoftwareSaaSPublic Company
Full time

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About the role

Intuit's Business Intelligence team builds the reporting and analytics experiences that millions of QuickBooks customers and accountants rely on, including Modern Reports, Management Reports, KPI Scorecards, Dashboards, and FP&A (Cash Flow, Budgets, Forecasting). The team is extending these experiences with AI — conversational reporting through Omni, self-serve report building, and agentic development — on a platform built on StarRocks over tens of billions of transaction rows across millions of small businesses. As a Senior Staff AI Scientist, this role owns the AI strategy for BI's target customers across Reporting, Scale, FP&A, and Conversational BI, defines reference architectures and evaluation standards used by other AI Scientists, and represents BI's AI strategy to senior and executive leadership.

What you will do

  • Own an end-to-end AI strategy for BI's target customers, spanning Reporting, Scale, FP&A, and Conversational BI, including aspects that span beyond a single team's ownership.
  • Lead multiple capabilities or complex application areas across multiple teams, identify strategic gaps, and influence technology and product direction across BI and its Mid-Market and SBG stakeholders.
  • Build Intuit's AI advantage in BI through a combination of novel algorithms, Intuit's proprietary financial data, and closed-loop agentic optimization infrastructure, including proprietary evaluation frameworks, built on BI's data platform (the StarRocks-based scale engine and the broader agentic development effort to make the reporting codebase legible to AI).
  • Steer investment decisions in frontier AI approaches for BI, such as when to invest in fine-tuning or Intuit LLM training versus prompting for conversational reporting, govern data contracts and privacy for financial data, and evaluate emergent agent behavior in customer-facing reporting.
  • Define reference architectures for AI-native BI systems adopted across multiple teams, including Reporting, Scale, and Conversational Narrative Builder, treating multi-agent coordination and tool orchestration as first-class design concerns.
  • Craft responsible AI frameworks specific to BI's context, anticipating regulatory and compliance considerations tied to presenting financial data and insights to small businesses and accountants.
  • Identify and resolve systemic issues across BI's technical foundation, such as architectural shortcomings or scale bottlenecks, that limit the org's overall delivery capability.
  • Raise the bar for AI Science quality across BI, typically 10 to 35 individuals, mentor other technical leaders including Staff and Senior AI Scientists, and drive adoption of best practices and agentic tooling org-wide.
  • Represent BI's AI strategy to senior and executive leadership and align investment decisions with business priorities.

Skills used in this role

Machine LearningLLMsAgentic System DesignMulti-Agent CoordinationTool OrchestrationCausal InferenceTime-Series ForecastingFine-TuningPromptingOLAPStarRocksDistributed Data EnginesFeature PlatformsEvaluation FrameworksData ScienceCommunication

What the employer is looking for

  • PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related field.
  • 8+ years of applied ML or data science experience, including significant experience defining technical strategy and architecture across multiple teams or a major organizational initiative.
  • Deep expertise across modern ML and AI paradigms, including LLMs, agentic system design, causal inference, and time-series and forecasting methods, with a track record of translating them into durable production systems at scale.
  • Experience building or influencing data platform strategy for AI/ML at scale, such as OLAP or distributed data engines, feature platforms, or agentic data pipelines.
  • Experience defining evaluation standards and responsible AI practices in a regulated or high-trust domain; financial data experience strongly preferred.
  • Exceptional written and verbal communication skills, with experience presenting technical strategy to VP- or CTO-level stakeholders.
  • A track record of mentoring Staff-level and senior individual contributors, and of building technical roadmaps that span multiple teams and quarters.

Benefits and support

  • cash bonus
  • equity rewards

About Intuit

Intuit is a leading global financial technology platform that provides software solutions including TurboTax, QuickBooks, Credit Karma, and Mailchimp. The company serves consumers, small businesses, and accounting professionals with tools for tax preparation, financial management, payroll, credit monitoring, and marketing. Intuit focuses on leveraging artificial intelligence and automated workflows to fuel financial success for tens of millions of customers worldwide.

Industry
Financial Technology
Company size
10001+ employees
Founded
1983
Location
Mountain View, California, USA
Funding stage
Public Company

Leadership

SG
Sasan Goodarzi

Chairman & Chief Executive Officer

SA
Sandeep Aujla

Executive Vice President & Chief Financial Officer

AB
Alex Balazs

Executive Vice President & Chief Technology Officer

AS
Ashley Still

Executive Vice President & General Manager, Small Business & Mid-Market Group

MN
Mark Notarainni

Executive Vice President & General Manager, Consumer Group