KPMG is seeking an AI Engineer Tech Lead I to develop sophisticated generative AI solutions and provide technical guidance to a team of AI engineers, aligning with microservice-based architecture and business requirements
Requirements
- Practical expertise with LLMs (for example, Azure OpenAI, Google Cloud), AI frameworks (LangChain/LangGraph, Semantic Kernel), and building modern AI agent and orchestration patterns
- Proven experience designing and implementing RAG pipelines using technologies like Azure AI Search; strong understanding of data integration with platforms such as Databricks or Microsoft Fabric
- Proficiency with agile methodologies and SDLC tools including Azure DevOps, Git for version control, and implementing CI/CD pipelines for automated testing and deployment
- Minimum five years of recent experience in software engineering with a significant focus on building and deploying AI/ML models and systems in a production environment
- Master's degree from an accredited college or university in computer science, engineering, artificial intelligence, or a related technical field is preferred; minimum of a Bachelor's degree is required
- Excellent problem-solving skills; able to communicate complex technical concepts effectively to both technical and non-technical stakeholders
Responsibilities
- Develop sophisticated generative AI solutions; provide technical guidance to a team of AI engineers and ensure alignment with microservice-based architecture and business requirements
- Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions
- Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions
- Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines
- Oversee the development of advanced context engineering strategies to manage diverse and sensitive client data; ensure solutions are versatile and effective across industries
- Mentor and develop junior engineers; foster technical excellence and professional growth while promoting best practices within the agile development process
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Other
- Master's degree from an accredited college or university in computer science, engineering, artificial intelligence, or a related technical field is preferred; minimum of a Bachelor's degree is required
- Minimum five years of recent experience in software engineering
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
- KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring
- Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position
