Senior AI Systems Engineer - Stateful Data Platform

EY; Miami (FL); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive benefits

Flexible vacation policy

Paid time off

Job summary

EY seeks 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 will manage relational, vector and graph stores, as well as streaming pipelines, ensuring durability and consistency for agentic workloads.

You’ll work in a hybrid model, shaping data infrastructure with automation and schema governance, partnering with platform teams to deliver reliable, scalable data services for regulated client contexts.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field is required.
• 8+ years operating production data infrastructure, streaming systems, or database platforms at scale.
• Hands-on experience 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/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 (PostgreSQL, Redis, vector stores, graph DBs).
• Own event streaming and async messaging (Kafka, NATS JetStream, Debezium, Flink).
• Own data durability, consistency, and recoverability (backup/restore, PITR, cross-env movement).
• Build and operate streaming and CDC pipelines with schema governance.
• Make state multi-tenant and portable with isolation and performance.
• Provide data and lineage substrate for governance, observability, and AI knowledge capabilities.

Skills

Data infrastructure

Streaming architectures

Schema governance

Cross-environment operation

Reliability and recoverability

Communication with consuming teams

Education

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

Tools

PostgreSQL

Redis/Valkey

Qdrant/Milvus/PGVector

Neo4j

Kafka/Strimzi

Job description

EY seeks 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 will manage relational, vector and graph stores, as well as streaming pipelines, ensuring durability and consistency for agentic workloads.

You’ll work in a hybrid model, shaping data infrastructure with automation and schema governance, partnering with platform teams to deliver reliable, scalable data services for regulated client contexts.