Senior AI Data Infrastructure Engineer

EY; Baltimore (MD); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Total rewards package (health, pension

Generous paid time off

Job summary

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including the data stores, memory tiers, and event streaming systems that hold and move every piece of state. This role focuses on durability, consistency, and recoverability across cloud, on-prem, edge, and air-gapped environments.

The ideal candidate has deep experience with production data infrastructure, relational and vector stores, streaming architectures, and strong governance, with a proven

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

Responsibilities

• Own memory and data stores: relational and durable state, caching, vector stores, knowledge graphs, and object storage across environments.
• Own event streaming and async messaging: Kafka, NATS JetStream, Debezium, Flink, and CloudEvents.
• Own data durability, consistency, and recoverability: replication, backup/restore, and cross-environment data movement.
• Build and operate streaming and CDC pipelines with schema governance to prevent breaking changes.
• Make state multi-tenant and portable with isolation and consistent semantics across clouds and air-gapped environments.
• Provide the data and lineage substrate for governance, observability, and AI knowledge capabilities.

Skills

Data infrastructure leadership

Production databases & streaming

Cross-team collaboration

Reliability engineering

Infrastructure as code

Communicate technical concepts

Education

Bachelor’s or Master’s in CS or related

Tools

PostgreSQL

Redis/Valkey

Qdrant/Milvus/PGVector

Neo4j

MinIO/OpenEBS

Kafka/Strimzi

NATS

Debezium

Apache Flink

CloudEvents/Schema Registry

Job description

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including the data stores, memory tiers, and event streaming systems that hold and move every piece of state. This role focuses on durability, consistency, and recoverability across cloud, on-prem, edge, and air-gapped environments.

The ideal candidate has deep experience with production data infrastructure, relational and vector stores, streaming architectures, and strong governance, with a proven