AI Solutions - Manager- Consulting

Location:

Anywhere in Country

Master's preferred (CS or related technical field)
• Hybrid
• AI Native Engineering

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.

As a Manager in AI Native Engineering, you will play a pivotal role in delivering the memory infrastructure that underpins EY’s agentic AI offerings. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.

You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We’ll look to you to provide technical guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients – and to build the memory layer that makes those solutions possible.

• Architect and build the memory layer of EY’s cognitive harness end‑to‑end graph databases, vector stores, hybrid retrieval services, ontology services, memory APIs, and the integration into agent runtimes.
• Design and implement knowledge graphs and ontologies that support agent grounding vocabulary, schema rules, instances, provenance, and cross‑domain mappings (sector and functional ontologies for Finance, Risk, Tax, Supply Chain, HR).
• Build and operate graph database infrastructure (Neo4j, Spanner Graph, Neptune, Tiger Graph, or similar) – schema design, ingestion, query optimization, and integration with the broader data platform.
• Engineer the vector and hybrid retrieval stack embeddings pipelines, vector indices (Vertex AI Vector Search, Open Search, Pinecone, Weaviate, pgvector), reranking, and lexical‑plus‑dense retrieval services.
• Build memory services for working, episodic, semantic, and procedural memory – including TTL, retention, consolidation, forgetting, and audit‑grade provenance for regulated workloads (SOX, HIPAA, GDPR).
• Implement grounding pipelines that connect agent runtimes to the memory layer with low latency, citation tracking, and hallucination guardrails.
• Lead a team of AI/ML…