at KPMG
Big FourPosted 6 days ago
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**AI Engineer - Tech Lead I** at KPMG develops advanced generative AI solutions, manages a team of AI engineers, and ensures alignment with microservice-based architecture and business requirements. Key responsibilities include collaborating with product managers, translating complex business requirements, fostering quality and innovation, driving SDLC processes, and managing diverse client data. This role is ideal for an experienced professional with a master's degree in computer science, engineering, AI, or a related field, and practical expertise in LLMs, AI frameworks, RAG pipelines, and agile methodologies. The role offers a competitive benefits package, including medical, dental, vision, and 401(k) plans, and mental health support. KPMG is an equal opportunity employer, recruiting on a rolling basis.
- Compensation
- Not specified USD
- City
- Los Angeles
- Country
- United States
Currency: $ (USD)
Full Job Description
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
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)
