Senior AI Data Systems Engineer - Stateful Platform

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

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Job summary

EY seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including data stores, memory tiers, and event streaming across cloud, on‑prem, edge, client‑managed, and air‑gapped environments.

The role covers relational, vector, and graph stores, durable workflows, and CDC/streaming pipelines, ensuring durability, consistency, and portable state in a regulated, multi-tenant setting.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related technical field.
• 8+ years operating production data infrastructure, streaming systems, or database platforms at scale.
• Hands-on experience with PostgreSQL and caching (Redis/Valkey), including high availability, replication, and backup/recovery.

Responsibilities

• Own the memory and data stores across environments: relational state, vector/graph stores, and object storage.
• Own event streaming and async messaging including Kafka, NATS, Debezium, Flink, and schema/event contracts.
• Ensure data durability, consistency, recovery, and cross‑environment data movement with defined RPO/RTOs.
• Build and operate streaming and CDC pipelines with schema governance to prevent breaking changes.
• Make state multi-tenant and portable with proper isolation and performance.
• Provide data and lineage substrate for governance, observability, and AI knowledge capabilities.

Skills

Production databases

Streaming systems

Data durability & recoverability

Kubernetes

Data governance

Communication across teams

IaC automation

Education

Bachelor’s or Master’s in CS

Tools

PostgreSQL

Redis

Qdrant

Milvus

Neo4j

Kafka

NATS

Debezium

Flink

MinIO

OpenLineage

CloudEvents

Job description

EY seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including data stores, memory tiers, and event streaming across cloud, on‑prem, edge, client‑managed, and air‑gapped environments.

The role covers relational, vector, and graph stores, durable workflows, and CDC/streaming pipelines, ensuring durability, consistency, and portable state in a regulated, multi-tenant setting.