Job description

KPMG is currently seeking an AI Engineer – Tech Lead I to join our Audit Technology Alliance organization. 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 Qualifications: • 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 • 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 • Excellent problem-solving skills; able to communicate complex technical concepts effectively to both technical and non-technical stakeholders(200TEC)

Requirements

Must-haves

KPMG is currently seeking an AI Engineer – Tech Lead I to join our Audit Technology Alliance organization.
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
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
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
Excellent problem-solving skills; able to communicate complex technical concepts effectively to both technical and non-technical stakeholders(200TEC)

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilemlazureci/cd

Platform: avature
Effort: medium