Senior AI Data & State Systems Engineer

EY; San Antonio (TX); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid/Remote work flexibility

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

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 systems across cloud, on‑prem, edge, and air‑gapped environments. This role ensures durable, consistent access to data for agentic AI workloads in a regulated, multi-tenant setting.

Ideal candidates will manage relational, vector, and graph stores, streaming pipelines, and schema governance, while enabling reliable cross-environment replication and DR

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 (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, MinIO/OpenEBS).
• Ability to define clean ownership boundaries and data/schema contracts with platform teams.

Responsibilities

• Own 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, Debezium, Flink, CloudEvents).
• Own data durability, consistency, restore, and cross-environment data movement (RPO/RTO).
• Build and operate streaming and CDC pipelines with schema governance and evolution.
• Make state multi-tenant with isolation and consistent semantics across cloud and on‑prem.
• Provide data and lineage substrate for governance, observability, and AI knowledge capabilities.

Skills

Data infrastructure

PostgreSQL

Redis caching

AI/ML data patterns

Vector databases

Graph databases

Kafka/Streaming

Kubernetes

Schema governance

Data lineage

Education

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

Tools

Qdrant

Milvus

PGVector

Neo4j

MinIO

OpenEBS

Debezium

Apache Kafka

Strimzi

NATS

Flink

CloudEvents

Job description

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 systems across cloud, on‑prem, edge, and air‑gapped environments. This role ensures durable, consistent access to data for agentic AI workloads in a regulated, multi-tenant setting.

Ideal candidates will manage relational, vector, and graph stores, streaming pipelines, and schema governance, while enabling reliable cross-environment replication and DR