Lead Engineer - GenAI

KPMG is currently seeking a Lead Engineer I to join our Ignition Tax Product Team. This is a hybrid work opportunity.

Responsibilities:

• Collaborate with product owners and data scientists to translate business needs into AI-powered features and APIs
• Architect, develop, and maintain scalable microservices for model inference (on Azure or similar)
• Build and maintain client-facing web apps in Angular + Type Script, Python or .NET Framework/C# backend services and APIs, secure SQL databases (T-SQL, schema design, stored procs)
• Leverage Azure services (App Services, Functions, SQL Database, Dev Ops) for deployment, scaling and monitoring
• Integrate Large Language Models (LLMs) and other AI services (such as Azure OpenAI, Custom Models Serving) into our front-end and back-end systems
• 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 development and systems architecture
• Master's degree from an accredited college or university is preferred. Minimum of a Bachelor's degree in computer science, engineering or related field is required
• Solid understanding of software engineering such as microservices architecture, RESTful APIs, authentication/authorization
• Experience building enterprise systems using Python, .NET, C#, Angular, SQL and Azure is preferred; strong Python skills and experience with ML frameworks (PyTorch, Tensor Flow, scikit-learn) is preferred; experience in building GenAI based applications or functionalities, RAG Algorithms and Agentic Frameworks like Lang Chain and Lang Graph
• Take full ownership of large codebases and functional modules, overseeing their development from inception to deployment
• Mentor junior engineers in AI concepts, conduct code reviews, and guide system design to foster technical growth and best practices as well as strong communication and analytical skills