Senior AI Data & State Engineer — Multi-Environment Platform

EY; Westlake Village (CA); Hybrid; USD 128,000 - 201,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

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 systems. You will ensure durable, performant access to data across cloud, on-prem, edge, client-managed, and air-gapped environments.

This role focuses on relational, vector/graph stores, and streaming pipelines, with strong emphasis on Schema governance and cross-environment data movement. Hybrid work is supported.

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 such as MinIO).
• Ability to define clean ownership boundaries and data/schema contracts with platform, trust, runtime, and delivery teams.

Responsibilities

• Own the memory and data stores: relational and durable state across environments.
• Own event streaming and async messaging with Kafka, NATS JetStream, Debezium, Flink, and CloudEvents.
• Ensure data durability, consistency, and recoverability across environments and RPO/RTOs.
• Build and operate streaming and CDC pipelines with schema governance to prevent breaking changes.
• Make state multi-tenant and portable with isolation and performance guarantees.
• Provide data and lineage substrate for governance, observability, and AI knowledge capabilities.

Skills

PostgreSQL

Redis

Vector stores

Neo4j

Kafka

Kubernetes

Education

Bachelor’s or Master’s degree in Computer Science

Tools

OpenLineage

Marquez

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 systems. You will ensure durable, performant access to data across cloud, on-prem, edge, client-managed, and air-gapped environments.

This role focuses on relational, vector/graph stores, and streaming pipelines, with strong emphasis on Schema governance and cross-environment data movement. Hybrid work is supported.