Senior Associate, AI Engineer

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice.

Develop GenAI / LLM applications and integrations using foundational models under the guidance of senior team members

Develop and test AI models, conversational agents, and workflow automation components under the guidance of senior team members

Assist with data preparation, transformation, and validation to support AI/ML model training and deployment

Configure and integrate AI solutions into enterprise applications (CRM, ERP, collaboration tools) using cloud platforms

Document processes, code, and technical workflows to support knowledge sharing and project continuity; collaborate with project teams to troubleshoot technical issues and ensure solutions meet client requirements

Stay current on emerging AI tools and frameworks, experimenting and applying them to real-world client projects

Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

Minimum three years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies