AI Solutions - Manager- Consulting - Location OPEN

Location:

Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Technology

• Data and Decision Science
• AI Native Engineering Manager, AI/ML Engineer
• Memory Layer & Knowledge Graph Master's preferred (CS or related technical field)
• Hybrid
• AI Native Engineering The opportunity Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients.

As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. EY is investing significantly in our agentic AI platform, and the memory layer is the engineering foundation of that platform. Without memory, agents are amnesiacs they cannot accumulate context, learn from prior runs, or ground decisions in enterprise knowledge. We are hiring a Manager, AI/ML Engineer to build the memory layer end-to-end: the graph databases, ontologies, vector stores, retrieval services, and grounding pipelines that power our cognitive harness and the agents that run on top of it. This is a hands-on engineering leadership role. You will architect and build the infrastructure

• knowledge graphs, vector indices, hybrid retrieval, ontology services, memory APIs, and the integration glue that ties memory into the harness, agent runtimes, and downstream client solutions.

You will work closely with our data-science leadership on memory representation and retrieval quality, and you will own the engineering delivery and production-readiness of the memory layer itself. Your key responsibilities As a Manager in AI Native Engineering, you will play a pivotal role in delivering t To view full details and how to apply, please login or create a Job Seeker account