Senior AI Data & State Platform Engineer

EY; Phoenix (AZ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

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 across cloud, on-prem, edge, client-managed, and air-gapped environments.

Ideal candidate will have deep experience with production data infrastructure, relational and vector stores, and a strong focus on durability, consistency, and recoverability in regulated contexts. The role supports a hybrid work model with expansive learning opportunities.

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 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 across environments.
• Own event streaming and async messaging including Kafka, NATS JetStream, Debezium, Flink, and CloudEvents.
• Own data durability, consistency, and recoverability across environments and replication factors.
• Build and operate streaming and CDC pipelines with schema governance and evolution.
• Make state multi-tenant and portable with isolation and performance guarantees.
• Provide data and lineage substrate for governance, observability, and AI knowledge capabilities.

Skills

Relational databases

Vector stores

Graph databases

Streaming systems

Kafka

NATS

CDC

Kubernetes

Schema governance

Education

CS degree

Tools

PostgreSQL

Redis/Valkey

Neo4j

MinIO/OpenEBS

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 across cloud, on-prem, edge, client-managed, and air-gapped environments.

Ideal candidate will have deep experience with production data infrastructure, relational and vector stores, and a strong focus on durability, consistency, and recoverability in regulated contexts. The role supports a hybrid work model with expansive learning opportunities.