Senior AI Data & State Platform Engineer

Ernst & Young Oman; Salem (OR); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation and benefits

Job summary

EY seeks an AI Systems Engineer to own the stateful backbone of its AI-native platform, including relational, vector, and object storage, plus durable workflows and streaming pipelines. You will ensure durability, consistency, and recoverability across cloud, on-prem, edge, and air-gapped environments, working with production databases and high-throughput streaming systems.

You will lead data governance, schema evolution, and multi-tenant isolation, coordinating with platform, trust, runtime,

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 running stateful systems on Kubernetes (operators, persistent volumes, object/block 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 across environments: relational/stateful stores, caching, vector stores, and object storage.
• Own event streaming and async messaging: Kafka, NATS JetStream, Debezium, Flink, and CloudEvents.
• Own data durability, consistency, and recoverability: replication, backup/restore, PITR across environments.
• Build and operate streaming and CDC pipelines with schema governance to prevent breaking changes.
• Make state multi-tenant and portable with isolation and performance across managed cloud and self-hosted OSS.

Job description

EY seeks an AI Systems Engineer to own the stateful backbone of its AI-native platform, including relational, vector, and object storage, plus durable workflows and streaming pipelines. You will ensure durability, consistency, and recoverability across cloud, on-prem, edge, and air-gapped environments, working with production databases and high-throughput streaming systems.

You will lead data governance, schema evolution, and multi-tenant isolation, coordinating with platform, trust, runtime,