Senior AI Systems Data Engineer: Stateful & Streaming

Ernst & Young Oman; Miami (FL); Hybrid; USD 107,000 - 177,000; Full time

Job summary

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

You’ll lead multi-environment data durability, schema governance, and cross‑environment replication, partnering with platform, trust, and delivery teams to ensure reliable, scalable state for agentic workloads.

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 (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/block 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 (PostgreSQL, DBOS durable workflows), caching (Redis/Valkey), vector stores (Qdrant/Milvus/PGVector), knowledge graphs (Neo4j), and object/storage across environments.
• Own event streaming and async messaging: Apache Kafka (Strimzi), NATS JetStream (agent-to-agent), Debezium (change data capture), Apache Flink (stream processing), and Apicurio/CloudEvents (schema and event contracts).
• Own data durability, consistency, and recoverability: replication, backup/restore, point-in-time recovery, and cross-environment data movement, tiered by RPO/RTO.
• Build and operate streaming and CDC pipelines that move data reliably between stores and services, with schema governance and evolution that prevents breaking changes across producers and consumers.
• Make state multi-tenant and portable, ensuring isolation, performance, and consistent semantics whether running on managed cloud services or self-hosted OSS in an air-gapped environment.
• Provide the data and lineage substrate that downstream governance, observability, and AI knowledge capabilities depend on, as well as integrating with lineage tooling.

Skills

Production databases

Streaming architectures

Durability mindset

Stateful systems

Schema governance

Communication skills

Reliability & IaC

Education

Bachelor’s or Master’s in CS

Tools

PostgreSQL

Redis

Valkey

Qdrant

Milvus

PGVector

Neo4j

Kafka

Strimzi

NATS

Debezium

Flink

MinIO

OpenEBS

OpenLineage

Marquez

Job description

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

You’ll lead multi-environment data durability, schema governance, and cross‑environment replication, partnering with platform, trust, and delivery teams to ensure reliable, scalable state for agentic workloads.