Senior Associate, AI Engineer

About the Role KPMG Advisory is seeking a Senior Associate, AI Engineer to join our Advisory Services practice. The role focuses on developing GenAI/LLM applications and integrating AI solutions into enterprise systems, with opportunities for hands-on AI model training, deployment, and client-facing work. What You'll Do

• 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. What We're Looking For
• Minimum three years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies.
• Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field; Master's degree from an accredited college or university a plus.
• Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI).
• Proficiency in Python or another programming language commonly used in AI/ML.
• Familiarity with conversational AI frameworks (LLMs, chatbots, virtual assistants, agents) and APIs.
• Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment.
• Ability to travel as required.
• Authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status. Nice to Have
• Master's degree is a plus.
• Additional experience with other cloud AI tools or deployment patterns.