Senior AI Data & State Systems Engineer

EY; Rogers (AR); Remote; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

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

The role focuses on durable, consistent access to state for agentic workloads, including relational, vector, and graph stores, with multi-tenant isolation and robust data governance in regulated client contexts.

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), 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/block storage (MinIO, OpenEBS Mayastor).
• 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

Data architectures

Streaming platforms

Kubernetes

PostgreSQL

Redis caching

Graph databases

Kafka & NATS

Cloud & on-prem

Schema governance

Education

CS degree

Tools

OpenLineage

Marquez

Debezium

Job description

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

The role focuses on durable, consistent access to state for agentic workloads, including relational, vector, and graph stores, with multi-tenant isolation and robust data governance in regulated client contexts.