AI Data Platform Engineer: Stateful & Streaming

EY; Akron (OH); Hybrid; USD 107,000 - 201,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Generous time off

Job summary

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, spanning relational, key-value, vector, and graph stores, as well as durable workflows and streaming pipelines.

You will ensure data durability, consistency, and recoverability across cloud, on-prem, edge, and air-gapped environments, collaborating with platform, trust, and delivery teams to define clear data contracts.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related 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 running stateful systems on Kubernetes (operators, persistent volumes, object/storage).

Responsibilities

• Own the memory and data stores across all environments and tenants.
• Own event streaming and async messaging (Kafka, NATS JetStream, Debezium, Flink).
• Own data durability, consistency, and recoverability across environments.
• Build and operate streaming and CDC pipelines with schema governance.
• Make state multi-tenant and portable with isolated, performant semantics.
• Provide the data and lineage substrate for governance and observability.

Skills

Data infrastructure

Streaming systems

PostgreSQL

Kubernetes

Distributed data

Education

Bachelor's or Master's in CS

Tools

Kafka

NATS

Debezium

Flink

Neo4j

PGVector

MinIO

Job description

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, spanning relational, key-value, vector, and graph stores, as well as durable workflows and streaming pipelines.

You will ensure data durability, consistency, and recoverability across cloud, on-prem, edge, and air-gapped environments, collaborating with platform, trust, and delivery teams to define clear data contracts.