Partner with audit teams to define and build high impact AI use cases, translating audit objectives into scalable technical solutions
Lead the end-to-end design and deployment of AI-powered applications and automation frameworks across audit workflows, partnering with cross functional teams to ensure solutions comply with enterprise AI governance standards and regulatory requirements
Establish performance metrics and continuously optimize solutions to drive measurable improvements in audit efficiency and effectiveness
Produce and maintain comprehensive technical documentation, including model artifacts, system architecture diagrams, validation protocols, and data lineage documentation to ensure transparency and auditability
Drive adoption of AI solutions within Internal Audit by designing user-centric implementations, communicating technical concepts in accessible terms, and providing training and hands-on support to ensure audit teams successfully integrate AI into their daily workflows
Continuously evaluate emerging AI, machine learning, and LLM technologies to determine their applicability and scalability within Internal Audit environments
Evaluate and leverage enterprise AI platforms and LLM tools to build fit-for-purpose audit solutions, optimizing for security, scalability, governance alignment, and workflow integration
Serve as the technical lead for audit management system , ensuring scalable integration of AI tools, workflow automation, and enterprise platform connectivity

Requirements

6 years of experience in data science, AI/ML, analytics, or advanced engineering roles
Bachelor’s degree in Computer Science, Engineering, Statistics, or related field
Hands on experience designing and deploying AI/ML solutions in production
Experience with enterprise LLM tools (e.g., Claude, ChatGPT, Perplexity)
Experience building or managing AI agents and automation frameworks
Advanced proficiency in Python and SQL
Experience implementing CI/CD, containerization, or MLOps practices
Experience with Jupyter Notebooks and large-scale data platforms (e.g., BigQuery)
Experience with cloud platforms (AWS, Azure, GCP) and related AI services
Understanding of model governance, validation, and responsible AI practices.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AImachine learningLLMPythonSQLCI/CDcontainerizationMLOpsJupyter Notebooksdata analytics

Soft Skills

communicationcollaborationtraininguser-centric designtechnical leadershipoptimizationtransparencyauditabilityproblem-solvingadaptability