Senior AI Systems Engineer: Stateful Data Backbone

Ernst & Young Oman

Tulsa (OK)

Hybrid

USD 120,000 - 163,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Total Rewards package

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 streams across cloud, on‑prem, edge, and air‑gapped environments.

You will manage relational, vector, graph, and object stores; run streaming and CDC pipelines with strict durability and recoverability, and ensure multi‑tenant isolation and reliable, governed data flows for AI workloads.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • 8+ years operating production data infrastructure at scale.
  • Hands-on with PostgreSQL and Redis/Valkey including HA and backup recovery.
  • Exposure to AI/ML data patterns — embeddings, retrieval, feature/state stores.
  • Production experience with vector/graph databases (Qdrant, Milvus, PGVector, Neo4j).
  • 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).
  • Experience running stateful systems on Kubernetes (operators, persistent volumes, storage).
  • Ability to define clean ownership boundaries and data/schema contracts.

Responsibilities

  • Own the memory and data stores across environments and tenants.
  • Own event streaming and async messaging (Kafka, NATS JetStream, Debezium).
  • Own data durability, consistency, and recoverability with cross‑environment movement.
  • Build and operate streaming and CDC pipelines with schema governance and evolution.
  • Make state multi‑tenant and portable with isolation and performance in cloud/on‑prem/air‑gapped environments.
  • Provide data lineage substrate and integrate with governance tooling.

Skills

Production databases
Streaming systems
Data stores at scale
Kubernetes
Data durability
Schema governance
Automation & IaC

Education

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

Tools

PostgreSQL
Redis/Valkey
Qdrant
Milvus
PGVector
Neo4j
MinIO/OpenEBS
Kafka
NATS
Debezium
Flink
Strimzi
CloudEvents

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 streams across cloud, on‑prem, edge, and air‑gapped environments.

You will manage relational, vector, graph, and object stores; run streaming and CDC pipelines with strict durability and recoverability, and ensure multi‑tenant isolation and reliable, governed data flows for AI workloads.

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