The AI Systems Engineer role at EY focuses on managing the stateful backbone of the AI-native platform, ensuring that AI workloads have reliable access to data across various environments. This position is ideal for a data-infrastructure engineer who is adept at operating production databases and high-throughput streaming systems. The team is dedicated to building a better working world by leveraging advanced technology and data. The role emphasizes data durability, consistency, and recoverability in regulated contexts.

• Bachelor's or Master's degree in Computer Science or a related technical field.
• 8+ years of experience operating production data infrastructure, streaming systems, or database platforms at scale.
• Hands-on expertise with relational databases such as PostgreSQL and caching systems like Redis.
• Experience with vector and graph databases in AI/ML contexts.
• Deep experience with event streaming and messaging technologies.

• Own the memory and data stores, including relational and durable state, caching, vector stores, and object storage across all environments.
• Manage event streaming and asynchronous messaging systems, ensuring reliable data movement.
• Ensure data durability, consistency, and recoverability through replication, backup, and cross-environment data movement.
• Build and operate streaming and change data capture pipelines that maintain schema governance.
• Make state multi-tenant and portable, ensuring performance and consistent semantics across environments.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.