Senior AI Data Infrastructure Engineer (Hybrid)

EY; Stamford (CT); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical & dental

401(k) savings plan

Paid time off

Job summary

EY seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including relational, vector, and object stores, plus durable workflows across cloud, on-prem, edge, and air-gapped environments. You’ll manage Kafka, NATS, Debezium, Flink, and schema governance to ensure durable, scalable data access for agentic workloads.

The role emphasizes data durability, cross-environment replication, and multi-tenant isolation, with a hybrid work model and comprehensive rewards.

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).

Responsibilities

• Own the memory and data stores: relational and durable state across environments.
• Own event streaming and async messaging systems and schemas.
• Ensure data durability, consistency, and recoverability across deployments.
• Build and operate streaming and CDC pipelines with schema governance.
• Make state multi-tenant and portable with strict isolation and performance.
• Provide data substrate for governance, observability, and AI knowledge capabilities.

Skills

Production databases

Streaming systems

Kubernetes

Data governance

Cross-cloud

Education

Bachelor’s or Master’s degree

Tools

PostgreSQL

Redis/Valkey

Neo4j

Qdrant/Milvus/PGVector

Kafka/Strimzi

Debezium

Apache Flink

MinIO/OpenEBS

Job description

EY seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including relational, vector, and object stores, plus durable workflows across cloud, on-prem, edge, and air-gapped environments. You’ll manage Kafka, NATS, Debezium, Flink, and schema governance to ensure durable, scalable data access for agentic workloads.

The role emphasizes data durability, cross-environment replication, and multi-tenant isolation, with a hybrid work model and comprehensive rewards.