Senior AI Systems Engineer: Stateful Data Platform

EY; Greenville (SC); Híbrido; USD 107.000 - 177.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Total Rewards package

Descripción de la vacante

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

This role focuses on durability, consistency, and recoverability, building streaming pipelines and schema‑governed data movement for multi‑tenant, portable deployments. Hybrid work model with broad global collaboration.

Formación

• 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) in AI/ML contexts.
• Deep experience with event streaming and messaging (Kafka/Strimzi, NATS) and change data capture (Debezium).
• Experience with stream processing (Flink) and event/schema governance (CloudEvents, schema registry).
• Experience running stateful systems on Kubernetes (operators, PVs, MinIO/OpenEBS).
• Ability to define clean ownership boundaries and data/schema contracts with platform, trust, runtime, and delivery teams.

Responsabilidades

• Own the memory and data stores across relational, durable state, vector, graph, and object storage.
• Own event streaming and async messaging including Kafka, NATS JetStream, Debezium, Flink, and CloudEvents.
• Own data durability, consistency, recoverability, and cross-environment data movement by RPO/RTO.
• Build and operate streaming and CDC pipelines with schema governance to prevent breaking changes.
• Make state multi-tenant and portable with isolation and consistent semantics across environments.
• Provide data and lineage substrate for governance, observability, and AI knowledge capabilities integration.

Conocimientos

Production databases

Streaming architectures

Durability mindset

Stateful systems

Schema governance

Cross-team communication

Infrastructure as code

Educación

Bachelor’s or Master’s degree in CS

Herramientas

PostgreSQL

Redis/Valkey

Qdrant

Milvus

PGVector

Neo4j

Kafka

NATS

Debezium

Flink

CloudEvents

OpenLineage

Marquez

MinIO

OpenEBS

Kubernetes

Descripción del empleo

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

This role focuses on durability, consistency, and recoverability, building streaming pipelines and schema‑governed data movement for multi‑tenant, portable deployments. Hybrid work model with broad global collaboration.