Senior AI Systems Engineer: Stateful Data & Streaming

EY; Huntsville (AL); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Job summary

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 will manage relational, vector, graph, and object stores, and drive durable, scalable data workflows with strong governance.

You’ll lead streaming, CDC, and schema evolution efforts, ensuring reliability, performance, and multi-tenant isolation in a regulated context. This role blends data infrastructure and AI readiness.

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 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 (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, object storage).
• Ability to define ownership boundaries and data/schema contracts across teams.

Responsibilities

• Own memory and data stores across environments (PostgreSQL, Redis/Valkey, vector stores, graph databases, object storage).
• Own event streaming and async messaging (Kafka, NATS JetStream, Debezium).
• Own data durability, consistency, and recoverability (replication, PITR, cross-environment movement).
• Build and operate streaming and CDC pipelines with schema governance.
• Make state multi-tenant with portable isolation and consistent semantics.
• Provide data and lineage substrate for governance, observability, and AI knowledge capabilities.

Skills

Relational databases

Streaming architectures

Data durability mindset

Multi-environment operation

Schema governance

Effective communicator

Automation & IaC

Education

Bachelor's or Master's degree in Computer Science

Tools

PostgreSQL

Redis/Valkey

Neo4j

Milvus

PGVector

MinIO

OpenEBS Mayastor

Kafka

NATS

Debezium

Flink

CloudEvents

Job description

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 will manage relational, vector, graph, and object stores, and drive durable, scalable data workflows with strong governance.

You’ll lead streaming, CDC, and schema evolution efforts, ensuring reliability, performance, and multi-tenant isolation in a regulated context. This role blends data infrastructure and AI readiness.