AI Engineer- Manager

KPMG LLP; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

KPMG LLP is seeking an AI Engineer – Tech Lead I to join our Audit Technology Alliance. You will lead a team of AI engineers, drive state‑of‑the‑art AI/ML solutions, and align with microservice architectures and business needs.

You will collaborate with product managers and audit SMEs to translate complex requirements into reliable, scalable solutions while championing quality, rapid delivery, and professional growth within an agile framework.

Qualifications

• 5+ years in software engineering with AI/ML production deployment.
• Bachelor's degree required; Master's preferred.
• Hands-on with LLMs and AI frameworks.

Responsibilities

• Develop advanced AI/ML solutions for audit tech and guide a team of AI engineers.
• Translate business requirements into scalable, reliable AI systems.
• Promote quality SDLC and CI/CD practices within agile teams.
• Oversee context engineering for diverse client data across industries.
• Mentor junior engineers and foster technical excellence.

Skills

AI/ML systems

Team leadership

SDLC processes

Agile methodologies

Communication

Education

Master's degree in CS or related

Bachelor's degree required

Tools

Azure DevOps

Git

CI/CD pipelines

LangChain

LangGraph

Semantic Kernel

Azure OpenAI

Google Cloud

Databricks

Microsoft Fabric

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)