Responsibilities
- Design and code autonomous AI agents that navigate systems to test controls, identify anomalies, and track transactions in near real time.
- Build multi-step agent planning systems for audit planning and scoping using risk registers, operational data, and external indicators.
- Integrate OpenAI, Anthropic, and Google LLMs and use agentic development tools to deliver enterprise automation.
- Develop prompt libraries, AI-assisted reporting tools, audit prototypes, user-facing applications, Slack bots, and interactive dashboards.
- Build Python, SQL, and R ETL pipelines and automation scripts for full-population audit testing.
- Deploy AI solutions through SDLC processes with automated testing, code reviews, and secure AWS or GCP environments.
- Implement role-based access controls, PII masking, and other security guardrails for agent and sensitive-data access.
- Validate data lineage from source databases through transformations to final audit reports.
- Collaborate with audit, technology, and AI/data systems teams to translate audit and compliance needs into automated solutions and support adoption.
Requirements
- At least 3 years of experience in software development, data science, or technology audit automation.
- At least 2 years of experience building AI/ML solutions focused on agentic workflows and LLM integration.
- Experience deploying agentic AI solutions.
- Proficiency in Python and SQL for data transformation, pipeline development, and system integration.
- Experience with major LLM APIs, multi-agent orchestration frameworks, and AI developer tools.
- Working knowledge of Git-based version control, CI/CD pipelines, and AI-assisted development workflows.
- Working knowledge of React, TypeScript, HTML, and CSS for user-facing audit tools is preferred.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Internal Audit experience is highly preferred.
- Preferred additional experience includes AI assurance, model risk management, ethical AI governance, data lineage, and data quality controls.
- Desired certifications include AWS or GCP Cloud Architect, CISA, or specialized AI/ML certifications.
- Ability to explain complex agentic logic clearly to executive audiences and adapt as AI technologies evolve.
Benefits
- Competitive compensation package with performance-based rewards, potential cash bonus eligibility, equity rewards, and benefits under applicable company plans and programs.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.