Senior AI Platform Data Architect — Stateful Systems

EY

Tampa (FL)

Hybride

USD 107 000 - 177 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Medical and dental coverage
401(k) plan
Paid time off options
Hybrid model

Résumé du poste

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform across cloud, on-prem, edge, and air-gapped environments. You’ll manage relational, vector, graph stores, and streaming pipelines, ensuring durability, consistency, and recoverability in regulated client contexts.

Ideal candidates have 8+ years in production data infrastructure, deep experience with PostgreSQL, Redis, vector/graph databases, Kafka/NATS, and Kubernetes, and can operate across multi-tenant

Qualifications

  • Bachelor’s or Master’s degree in CS or related technical field.
  • 8+ years operating production data infrastructure, streaming systems, or database platforms at scale.
  • Hands-on with PostgreSQL and Redis, including HA, replication, and backup/recovery.
  • Exposure to embeddings, feature/state stores for AI workloads.
  • Experience with vector/graph databases (Qdrant, Milvus, PGVector, Neo4j) in AI contexts.
  • Strong experience with Kafka/NATS and Debezium for CDC.
  • Familiarity with Flink and CloudEvents/schema governance.

Responsabilités

  • Own the memory and data stores across environments (relational, vector, graph, object storage).
  • Own event streaming and async messaging (Kafka, NATS, Debezium, Flink).
  • Ensure data durability, consistency, and recoverability with cross-environment movement.
  • Build and operate streaming and CDC pipelines with schema governance.
  • Make state multi-tenant and portable with isolation and performance guarantees.
  • Provide data and lineage substrate for governance and AI knowledge capabilities.

Connaissances

Data stores
Streaming architectures
Kubernetes
Multi-tenant isolation
Data durability and recoverability
CICD / IaC for data systems

Formation

Bachelor’s or Master’s degree in CS

Outils

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

Description du poste

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform across cloud, on-prem, edge, and air-gapped environments. You’ll manage relational, vector, graph stores, and streaming pipelines, ensuring durability, consistency, and recoverability in regulated client contexts.

Ideal candidates have 8+ years in production data infrastructure, deep experience with PostgreSQL, Redis, vector/graph databases, Kafka/NATS, and Kubernetes, and can operate across multi-tenant

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