Senior AI Systems Engineer: State & Data Backbone (Hybrid)

EY; Chantilly (VA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Paid time off

Job summary

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

You will own data durability, cross‑environment replication, and CDC pipelines, ensuring consistent semantics and trusted data for regulated client contexts while enabling multi‑tenant isolation and portability.

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).

Responsibilities

• Own the memory and data stores across environments (relational, vector, graph, object storage).
• Own event streaming and async messaging (Kafka, NATS JetStream, Debezium).
• Own data durability, consistency, and recoverability (backup/restore, PITR).
• Build and operate streaming and CDC pipelines with schema governance.
• Make state multi-tenant and portable across managed cloud and OSS air-gapped envs.
• Provide the data and lineage substrate for governance, observability, and AI capabilities.

Skills

Data infrastructure

Streaming systems

Kubernetes

Data durability

Multi-environment

Education

Bachelor’s or Master’s degree in Computer Science

Tools

PostgreSQL

Redis/Valkey

Qdrant/Milvus/PGVector

Neo4j

MinIO/OpenEBS

Kafka/Strimzi

NATS

Debezium

Flink

CloudEvents

Job description

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

You will own data durability, cross‑environment replication, and CDC pipelines, ensuring consistent semantics and trusted data for regulated client contexts while enabling multi‑tenant isolation and portability.