Senior AI Systems Engineer: Stateful Data & Streams

EY; Portland (OR); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Job summary

EY seeks an AI Systems Engineer to own EY’s stateful AI-native platform backbone, including databases, memory tiers, and event streaming systems across cloud and on‑prem environments. You will ensure durable, scalable data access for agentic workloads in multi-environment runtimes.

This role emphasizes reliability, multi-tenant isolation, and governance, with Kubernetes-based deployments and automation focus.

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/storage).

Responsibilities

• Own the memory and data stores: relational and durable state across environments.
• Own event streaming and async messaging (Kafka, NATS JetStream, Debezium).
• Own data durability, consistency, and recoverability (backup/restore, PITR).
• Build and operate streaming and CDC pipelines with schema governance.
• Make state multi-tenant and portable across managed cloud and self-hosted OSS.
• Provide data and lineage substrate for governance and observability.

Skills

Production databases

Streaming architectures

Durability & recoverability

Stateful systems across environments

Schema governance

Communication

Automation / IaC

Education

Bachelor's or Master’s in CS

Tools

PostgreSQL

Redis

Qdrant

Milvus

PGVector

Neo4j

MinIO

OpenEBS

Strimzi / Kafka

NATS

Debezium

Flink

CloudEvents / Schema registry

Kubernetes

Job description

EY seeks an AI Systems Engineer to own EY’s stateful AI-native platform backbone, including databases, memory tiers, and event streaming systems across cloud and on‑prem environments. You will ensure durable, scalable data access for agentic workloads in multi-environment runtimes.

This role emphasizes reliability, multi-tenant isolation, and governance, with Kubernetes-based deployments and automation focus.