Senior AI Data & State Systems Engineer

EY; Des Moines (IA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package with medical/ded

Job summary

EY seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform (HAI), spanning data stores, memory tiers and event streaming 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, while enabling multi-tenant portability.

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.
• ,
• ],
• job_responsibilities_description [
• CoT_job_summary_short
• job_summary_short
• contract_type
• location_type
• remote_scope
• perks
• stated_min
• stated_max
• stated_absolute
• salary_estimation_cot
• estimated_low
• estimated_medium
• estimated_high
• currency
• frequency
• bonus
• tax
• application_email
• job_end_date
• contact_person
• hiring_department_name

Responsibilities

• Own the memory and data stores: relational and durable state (PostgreSQL, DBOS durable workflows), caching (Redis/Valkey), vector stores (Qdrant/Milvus/PGVector), knowledge graphs (Neo4j), and object/block storage (MinIO, OpenEBS Mayastor), across every environment and tenant.
• Own event streaming and async messaging: Apache Kafka (Strimzi), NATS JetStream (agent-to-agent), Debezium (change data capture), Apache Flink (stream processing), and Apicurio/CloudEvents (schema and event contracts).
• Own data durability, consistency, and recoverability: replication, backup/restore, point-in-time recovery, and cross-environment data movement, tiered by RPO/RTO.
• Build and operate streaming and CDC pipelines that move data reliably between stores and services, with schema governance and evolution that prevents breaking changes across producers and consumers.
• Make state multi-tenant and portable, ensuring isolation, performance, and consistent semantics whether running on managed cloud services or self-hosted OSS in an air-gapped environment.
• Provide the data and lineage substrate that downstream governance, observability, and AI knowledge capabilities depend on, as well as integrating with lineage tooling.

Skills

Data stores

Streaming systems

Kubernetes

Data durability

Cloud/on-prem/edge

Schema governance

Multi-tenant design

Communication

Automation via IaC

Education

Bachelor’s or Master’s degree in CS or related

Tools

PostgreSQL

Redis/Valkey

Qdrant/Milvus/PGVector

Neo4j

MinIO/OpenEBS

Kafka/Strimzi

NATS

Debezium

Flink

CloudEvents/Schema Registry

Job description

EY seeks an AI Systems Engineer to own the stateful backbone of EY’s AI-native platform (HAI), spanning data stores, memory tiers and event streaming 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, while enabling multi-tenant portability.