AI Engineer- Manager
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-09-17
Listing for:
KPMG LLP
Full Time
position Listed on 2026-09-17
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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
- 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 (Lang Chain/Lang Graph, 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 Dev Ops, 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(200
TEC)
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