Senior AI Data Infrastructure Engineer (Hybrid Cloud)

EY

Jericho (NY)

Hybrid

USD 107,000 - 201,000

Full time

14 days+
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Benefits offered by this job

Medical coverage
Dental coverage
401(k) pension
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 that hold and move state across cloud, on-prem, edge, client-managed, and air-gapped environments.

You will ensure durability, consistency, and recoverability while making state portable and multi-tenant, enabling governance and lineage for downstream AI capabilities across EY’s Hybrid AI Runtime.

Qualifications

  • 8+ years operating production data infrastructure, streaming systems, or database platforms at scale.
  • Hands-on expertise with relational databases and caching, 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 in AI/ML contexts.
  • Experience with event streaming and messaging (Kafka/NATS) and change data capture.
  • Experience with stream processing (Flink) and schema governance.
  • Experience running stateful systems on Kubernetes.
  • 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 and tenants.
  • Own event streaming and async messaging across platforms.
  • Own data durability, consistency, and recoverability with cross-environment replication.
  • Build and operate streaming and CDC pipelines with schema governance.
  • Make state multi-tenant and portable across cloud, on-prem and air-gapped environments.
  • Provide the data and lineage substrate for governance, observability, and AI capabilities.

Skills

PostgreSQL & Redis
Streaming systems
Kubernetes
AI/ML data patterns
Vector/Graph DBs
Kafka/NATS/CDC
Schema governance
Multi-environment data

Education

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

Tools

MinIO/OpenEBS
Neo4j
Qdrant/Milvus/PGVector

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 that hold and move state across cloud, on-prem, edge, client-managed, and air-gapped environments.

You will ensure durability, consistency, and recoverability while making state portable and multi-tenant, enabling governance and lineage for downstream AI capabilities across EY’s Hybrid AI Runtime.

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