Intuit
Website:
intuit.com
Job details:
Overview
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.
As a Senior AI Developer in the Internal Audit Center of Excellence (CoE), you will be at the forefront of driving digital transformation by building next-generation agentic AI solutions. Unlike traditional generative AI tools that primarily respond to prompts, your focus will be on developing autonomous agents capable of planning, executing, and adapting actions to achieve complex audit objectives with minimal human intervention. By integrating cutting-edge AI and advanced data connectors into audit planning, fieldwork, and reporting, you will drive full-population testing and unlock data-driven predictive insights.
You will develop AI agents that plan, execute, and adapt to meet complex audit objectives with minimal human intervention. You will bridge gaps in data identification and usage for advanced machine learning and practical audit execution, moving the function from sample-based checks to AI-enabled, data-driven predictive insights.
Responsibilities
Agentic Solution Development
- Design and code AI agents that autonomously navigate across systems to test controls, flag anomalies, and track transactions in near real-time.
- Build multi-step planning systems capable of dynamic audit planning and scoping by analyzing risk registers, operational data, and external indicators.
- Implement and manage agentic capabilities across established LLMs (OpenAI, Anthropic, Google), utilizing tools like Claude Code for enterprise-grade automation.
- Develop standardized prompt libraries and internal AI-assisted reporting tools to enhance auditor productivity and coverage.
Technical Build
- Utilize Python, SQL, and R to build robust data pipelines (ETL) and automation scripts for full-population data testing.
- Build and extend audit tooling, including AI-powered prototypes, user-facing tools (using React, Node.js, and TypeScript), Slack bots for evidence tracking, and real-time interactive dashboards.
- Ensure all AI solutions follow rigorous Software Development Life Cycle (SDLC) processes, including automated testing, code reviews, and secure deployment in cloud-native environments (AWS/GCP).
- Implement security guardrails for agent-to-system access and sensitive data handling such as role-based access controls and PII masking within the architecture
- Technically validate data lineage from raw database entries through transformation layers to final audit reports to prevent data corruption.
Collaboration
- Work with the Internal audit AI/Data systems lead on technical design and incorporate review feedback
- Partner with Technology and audit teams to translate audit and compliance requirements into automated solutions
- Share technical expertise with the broader audit team to support adoption of AI tools
Qualifications
- 3+ years of experience in software development, data science, or technology audit automation, including 2+ years building AI/ML solutions with a focus on agentic workflows and LLM integration
- Exposure or Experience with Internal Audit highly preferred
- Experience in deploying agentic AI solutions
- Proficiency in Python and SQL for data transformation, pipeline building, and system integration
- Experience with major LLM APIs (OpenAI, Anthropic, Google), multi-agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen), and AI developer tools (Cursor)
- Working knowledge of version control (Git/GitHub/GitLab), CI/CD pipelines, and AI-assisted development workflows
- Working knowledge of front-end technologies (React, TypeScript, HTML, CSS) to build user-facing audit tools preferred
- Ability to work in a fast-paced environment and adapt as AI technologies evolve
- Ability to translate complex technical agentic logic into clear business language for executive audiences
Desired Technical skills
- Experience with AI assurance, model risk management, or ethical AI governance frameworks
- Working knowledge of data lineage and data quality controls
Education & Certifications
- Education: Bachelor’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.
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