Internal Audit AI/Data Systems Lead

Company Overview

Job Overview|Job Description

Intuit’s Internal Audit (IA) team provides independent, objective assurance and advisory services that add value and improve Intuit’s operations. We are transforming the function from a traditional assurance model into an AI-enabled one, and our newly established Center of Excellence (CoE) drives our technology-enabled and data-driven initiatives.

We are seeking a visionary AI and Data Leader to spearhead the transformation of Internal Audit. In this high-impact role, you will build and lead a newly created AI and Data CoE, design embedded audit methodologies, and engineer automated data pipelines. By integrating cutting-edge AI and advanced data  integration connectors into audit planning, fieldwork, and reporting, you will drive full-population testing, unlock data-driven insights, and shape the future of Intuit Internal Audit

Responsibilities

Agentic Solution Architecture & Development 

• Partner with audit stakeholders to understand processes, pain points, and automation opportunities

• Design the core AI systems (agent frameworks, integration patterns, data access patterns) for Internal Audit automation, aligned with Intuit’s “AI-driven expert platform” mission

• Design, develop, and maintain full-stack internal audit tools and applications using internal AI development tools (such as Claude Code, agent frameworks, and custom skills/MCP integrations), from backend systems to polished front-end interfaces

• Own the prompt library and AI-assisted reporting tools within Internal Audit, as shared infrastructure

Technical Build & Standards

• Design and Build audit tooling, AI-powered prototypes, and real-time interactive executive dashboards

• Build Compliance by Design into production code, including guardrails for agent-to-system access (e.g., MCP-based access patterns, role-based access controls, PII masking)

• Build repeatable data-analysis workflows and full-population testing that support audit engagements across planning, fieldwork, and reporting 

• Define data integrity, lineage, and quality standards for IA AI solutions, working with Intuit’s data platform teams

Collaboration & Technical Leadership

• Work with Intuit Technology and audit leadership to translate audit and compliance requirements into automated solutions 

• Review and guide all AI/data technical designs and implementations within Internal audit

• Provide technical guidance to the broader audit team to support adoption of AI tools

Qualifications

• 7+ years of experience in data architecture, analytics, software engineering, or AI/ML roles, with 3+ years in AI-led technical leadership

• Experience with or exposure to Internal Audit preferred

• Strong full-stack development skills, including React, TypeScript, Node.js, HTML, and CSS, to build user-facing audit tools and dashboards 

• Proven track record of deploying agentic AI solutions in finance, fintech preferred

• Expert-level Python and SQL for data transformation, pipeline building, and system integration; 

• Hands-on experience with major LLM APIs (OpenAI, Anthropic, Google) and multi-agent orchestration frameworks 

• Working knowledge of version control (Git/GitHub/GitLab), CI/CD pipelines, and AI-assisted development workflows

• Applied ML/data science for anomaly detection, risk scoring, or predictive modeling

• Experience with cloud architecture (AWS/GCP) and secure-by-design principles

• Experience with AI assurance, model risk management, or ethical AI governance frameworks

• Ability to explain complex technical architectures and AI-driven risks to both technical partners and non-technical senior leadership

Desired Technical Skills

• Experience with LLM evaluation and observability practices (e.g., RAGAS, LangSmith) to ensure agent reliability and output defensibility

• Experience with AI governance and assurance frameworks (e.g., NIST AI RMF, ISO/IEC 42001), model risk management, or responsible AI practices 

• Familiarity with enterprise data lake environments

• Experience defining data lineage, cataloging, and data quality standards  

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.

• Certifications: Desired certifications include AWS/GCP Cloud Architect, CISA, or specialized AI/ML certifications from major providers.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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.