Associate, AI Engineer

Role Overview

Join KPMG Advisory as an Associate, AI Engineer. The role focuses on developing GenAI and LLM applications, testing AI models, supporting data preparation, integrating AI solutions into enterprise applications, and documenting processes to ensure project continuity.

• Develop GenAI/LLM applications and integrations using foundational models under guidance.
• Develop and test AI models, conversational agents, and workflow automation components under guidance.
• 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, experiment with and apply them to real‑world client projects.
• Act with integrity, professionalism, and personal responsibility to uphold a respectful and courteous work environment.

• Minimum one year of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies.
• Bachelor's degree in computer science, data science, engineering, or a related field;
  Master’s degree preferred.
• 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; ability to work in a team‑based, client‑focused environment.
• Ability to travel as required.
• Applicants must be authorized to work in the U.S. without the need for employment‑based visa sponsorship; KPMG does not sponsor U.S. work visas.

KPMG offers a comprehensive benefits package, including medical, dental, vision, disability and life insurance, 401(k), and personal well‑being benefits. Benefits eligibility depends on position classification and location.

All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, and local laws.