KPMG is seeking to implement and adopt AI-based solutions within its Legal, Regulatory and Compliance (LRMC) organization to automate tasks, improve efficiency, and enhance user experience.
Requirements
- minimum one year of demonstrable recent experience with prompt engineering, AI governance, technology evaluation, and selection
- Strong understanding of AI technologies (such as Large Language Models, Natural Language Processing, Machine Learning pipelines) and their application in legal, risk management and compliance contexts; familiarity with tools like Notebook LM, Agentspace, Microsoft Copilot, or similar platforms is preferred
Responsibilities
- Direct the implementation, and adoption of AI-based solutions, as well as monitor usage to continuously improve solution effectiveness, and user experience
- Lead the development and implementation of AI agents to automate tasks such as research, case triage, document review, and compliance tracking
- Involves establishing AI architecture and reviewing complex tasks or processes for automation; maintain LRMC prompt library, and continuously improve prompt effectiveness based on user feedback, as well as evolving needs
- Serve as the primary point of contact for LRMC professionals using AI tools by providing training and documentation, as well as troubleshooting support
Other
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
- Minimum five years of recent experience in applications development and implementation following SDLC, legal operations, risk management, compliance, and/or business process automation
- Bachelor's degree from an accredited college or university in computer science, engineering, data science or a related field is required; advanced degree from an accredited college or university preferred
- Experience working with non-technical stakeholders to understand their requirements, demonstrate solutions, and provide support; ability to present intricate topics and proposals in easily understandable non-technical form