Senior AI Data Systems Engineer — Stateful Platform

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

Job summary

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform across cloud, on-prem, edge, and air-gapped environments.

You will manage relational and vector stores, streaming, and CDC pipelines with a focus on durability, consistency, and recoverability in regulated client contexts. Hybrid and multi-tenant architecture will be central to your work at EY.

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

Responsibilities

• Own the 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 schema/event contracts.
• Own data durability, consistency, and recoverability: replication, backup/restore, point-in-time recovery, 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, performance, and consistent semantics across managed cloud and self-hosted OSS.
• Provide the data and lineage substrate for governance, observability, and AI knowledge capabilities; integrate with lineage tooling.

Skills

Production databases

Streaming systems

Kubernetes

Data governance

Schema evolution

Multi-environment platforms

Reliability engineering

Communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

PostgreSQL

Redis

Valkey

Neo4j

MinIO

OpenEBS

Kafka

NATS

Debezium

Flink

Job description

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform across cloud, on-prem, edge, and air-gapped environments.

You will manage relational and vector stores, streaming, and CDC pipelines with a focus on durability, consistency, and recoverability in regulated client contexts. Hybrid and multi-tenant architecture will be central to your work at EY.