Senior AI Data Infrastructure Engineer

EY; Fort Worth (TX); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Hybrid work model

Job summary

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform (HAI). You will manage relational and vector stores, object storage, and durable workflows across cloud, on-prem, and air-gapped environments.

The role emphasizes data durability, recoverability, and multi-tenant isolation, with strong focus on streaming, CDC, and governance. Hybrid work model and competitive benefits accompany the role.

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).
• 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 (PostgreSQL, DBOS durable workflows), caching, vector stores, knowledge graphs, 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, cross-environment movement.
• Build and operate streaming and CDC pipelines with schema governance to prevent breaking changes.
• Make state multi-tenant and portable with isolation and consistent semantics across environments.
• Provide data and lineage substrate for governance, observability, and AI knowledge capabilities.

Skills

Production data infrastructure

Streaming architectures

Durability and recoverability

Multi-tenant data isolation

Schema governance

Communication across teams

Automation and IaC for data systems

Education

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

Tools

PostgreSQL

Redis/Valkey

Qdrant

Milvus

PGVector

Neo4j

MinIO/OpenEBS Mayastor

Kafka/Strimzi

NATS

Debezium

Apache Flink

CloudEvents/schema registry

Kubernetes

Persistent volumes

Job description

EY is seeking an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform (HAI). You will manage relational and vector stores, object storage, and durable workflows across cloud, on-prem, and air-gapped environments.

The role emphasizes data durability, recoverability, and multi-tenant isolation, with strong focus on streaming, CDC, and governance. Hybrid work model and competitive benefits accompany the role.