Associate AI Engineer - GenAI & Enterprise AI Apps

KPMG LLP; Dallas (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

KPMG LLP is seeking an Associate, AI Engineer to join our Advisory Services practice in the United States. You will develop GenAI/LLM applications and integrate them into enterprise systems, working under the guidance of senior team members.

The role emphasizes data preparation, model testing, and deployment across CRM, ERP, and collaboration tools in client environments. The position requires experience in AI/ML, data science, software engineering, or cloud technologies, with a relevant

Qualifications

• Minimum one year of AI/ML, data science, software engineering, or cloud tech experience.
• Bachelor’s degree in CS, data science, engineering or related field; Master’s degree a plus.
• Experience with at least one major cloud AI platform (Azure AI, AWS Bedrock, or Google Cloud Vertex AI).

Responsibilities

• Develop GenAI / LLM apps and integrations under guidance of senior team members.
• Develop and test AI models, conversational agents, and workflow automation components.
• Assist with data preparation, transformation and validation for AI/ML model training and deployment.
• Configure and integrate AI solutions into enterprise apps (CRM, ERP, collaboration tools) using cloud platforms.
• Document processes, code and workflows; collaborate with project teams to troubleshoot issues.
• Stay current on emerging AI tools and frameworks and apply them to client projects.
• Act with integrity and professionalism to uphold KPMG’s work environment.

Skills

AI/ML experience

Python programming

Cloud platforms

Team collaboration

Education

Bachelors in CS/Engineering/Data Science

Masters a plus

Tools

Azure AI

AWS Bedrock

Google Vertex AI

Job description

KPMG LLP is seeking an Associate, AI Engineer to join our Advisory Services practice in the United States. You will develop GenAI/LLM applications and integrate them into enterprise systems, working under the guidance of senior team members.

The role emphasizes data preparation, model testing, and deployment across CRM, ERP, and collaboration tools in client environments. The position requires experience in AI/ML, data science, software engineering, or cloud technologies, with a relevant