Senior AI Data Infrastructure Engineer (Stateful, Streaming)

EY; Tucson (AZ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, spanning relational, vector, graph, and object stores across cloud, on‑prem, edge, and air‑gapped environments.

The role focuses on durable, reliable data access for agentic AI workloads, with emphasis on multi-tenant portability, schema governance, and end‑to‑end data lineage and governance 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 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 across environments and tenants (relational, vector, graph, object storage).
• Own event streaming and async messaging (Kafka, NATS JetStream, Debezium, Flink).
• Own data durability, consistency, and recoverability (backup/restore, PITR, cross-env movement).
• Build and operate streaming and CDC pipelines with schema governance.
• Ensure multi-tenant portability with isolation and performance across clouds and air-gapped setups.
• Provide data and lineage substrate for governance and observability.

Skills

Production databases

Streaming systems

Kubernetes

Data durability

Cross-environment data workflows

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

PostgreSQL

Redis/Valkey

Qdrant/Milvus/PGVector

Neo4j

MinIO/OpenEBS

Kafka/Strimzi

NATS

Debezium

Apache Flink

Job description

EY seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, spanning relational, vector, graph, and object stores across cloud, on‑prem, edge, and air‑gapped environments.

The role focuses on durable, reliable data access for agentic AI workloads, with emphasis on multi-tenant portability, schema governance, and end‑to‑end data lineage and governance capabilities.