Senior Stateful AI Data Platform Engineer

EY; Salt Lake City (UT); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) + other retirement plans

Paid time off

Job summary

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including data stores, memory tiers, and event streaming that move state across cloud, on-prem, edge, client-managed, and air-gapped environments.

You’ll ensure durable, performant access to data and operate multi-tenant, portable stateful systems with strong data governance and recovery capabilities.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related technical field.
• 8+ years operating production data infrastructure, streaming systems, or database platforms at scale.
• Hands-on expertise with relational databases (PostgreSQL) and caching (Redis/Valkey), including HA, replication, and backup/recovery.
• Exposure to AI/ML data patterns — embeddings, retrieval, feature/state stores for agentic workloads.
• Production experience with vector and/or graph databases (Qdrant, Milvus, PGVector, Neo4j) in AI/ML contexts.
• Deep experience with event streaming and messaging (Apache Kafka/Strimzi, NATS) and change data capture (Debezium).
• Experience with stream processing (Apache Flink) and event/schema governance (CloudEvents, schema registry).
• Experience running stateful systems on Kubernetes (operators, persistent volumes, object/storage).
• Ability to define clean ownership boundaries and data/schema contracts with platform, trust, runtime, and delivery teams.

Responsibilities

• Own the memory and data stores across environments and tenants: relational and durable state, caching, vector stores, knowledge graphs, and object storage.
• Own event streaming and async messaging: Kafka, NATS JetStream, Debezium, Flink, and Apicurio/CloudEvents.
• Own data durability, consistency, and recoverability: replication, backup/restore, PITR, cross-environment data movement.
• Build and operate streaming and CDC pipelines with schema governance and evolution to prevent breaking changes.
• Make state multi-tenant and portable with isolation and consistent semantics across cloud or OSS builds.
• Provide the data and lineage substrate that governance, observability, and AI capabilities depend on, integrating with lineage tooling.

Skills

Data infrastructure

Streaming systems

Kubernetes

Cloud and on-prem

Stateful systems

Data durability

Schema governance

Automation

Multi-tenant isolation

Education

Bachelor’s or Master’s degree in Computer Science

Tools

PostgreSQL

Redis

Qdrant

Milvus

PGVector

Neo4j

MinIO

OpenEBS

Kafka

Strimzi

NATS

Debezium

Flink

CloudEvents

Job description

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including data stores, memory tiers, and event streaming that move state across cloud, on-prem, edge, client-managed, and air-gapped environments.

You’ll ensure durable, performant access to data and operate multi-tenant, portable stateful systems with strong data governance and recovery capabilities.