Stateful AI Platform Engineer

EY; Wichita (KS); 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 seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, spanning relational, vector, and graph stores, plus durable workflows and streaming pipelines across cloud, on-prem, edge, and air-gapped environments.

Ideal candidates will manage production data infrastructure at scale, ensure durability and recoverability, and drive schema governance while enabling multi-tenant isolation and reliable AI 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 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, caching, vector/graph stores, and object storage across environments.
• Own event streaming and async messaging: Kafka, NATS JetStream, Debezium, Flink, and CloudEvents.
• Own data durability, consistency, and recoverability: replication, backup/restore, and cross-env data movement.
• Build and operate streaming and CDC pipelines with schema governance to prevent breaking changes.
• Make state multi-tenant and portable, ensuring isolation and performance in cloud or air-gapped environments.
• Provide the data and lineage substrate that downstream governance, observability, and AI knowledge capabilities depend on.

Skills

Production databases

Data stores

Relational databases

Key-value stores

Vector stores

Graph databases

Object storage

Streaming systems

Event-driven

Kafka

NATS

Debezium

Flink

CloudEvents

Schema governance

Kubernetes

Education

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

Tools

PostgreSQL

Redis/Valkey

Neo4j

MinIO

OpenEBS Mayastor

Strimzi

NATS JetStream

Debezium

Apache Kafka

Flink

CloudEvents

OpenLineage

Marquez

Temporal

Job description

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

Ideal candidates will manage production data infrastructure at scale, ensure durability and recoverability, and drive schema governance while enabling multi-tenant isolation and reliable AI workloads.