Senior AI Data & State Platform Engineer

EY; Charleston (WV); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

401(k) and pension

Job summary

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including data stores, memory tiers, and event streaming that support agentic workloads across cloud, on‑prem, edge, and air‑gapped environments.

This role requires deep expertise in production data infrastructure, streaming architectures, and multi‑tenant data while ensuring durability, recoverability, and scalable performance.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related 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).
• Deep experience with event streaming and messaging (Kafka/Strimzi, NATS) and CDC (Debezium).
• Experience with Apache Flink and schema governance (CloudEvents, schema registry).
• Experience running stateful systems on Kubernetes (operators, persistent volumes, MinIO/OpenEBS).
• Ability to define clean ownership boundaries and data/schema contracts.

Responsibilities

• Own the memory and data stores across environments and tenants.
• Own event streaming and async messaging components and schema contracts.
• Own data durability, consistency, recovery, and cross‑environment movement.
• Build and operate streaming and CDC pipelines with schema governance.
• Make state multi‑tenant and portable with isolation and performance guarantees.
• Provide data and lineage substrate for governance, observability, and AI capabilities.

Skills

Production databases

Streaming architectures

Kubernetes

Data durability

Schema governance

Multi-tenant data

Education

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

Tools

Apache Kafka

NATS

Debezium

Flink

CloudEvents

Job description

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform, including data stores, memory tiers, and event streaming that support agentic workloads across cloud, on‑prem, edge, and air‑gapped environments.

This role requires deep expertise in production data infrastructure, streaming architectures, and multi‑tenant data while ensuring durability, recoverability, and scalable performance.