Lead AI Memory Architect & Systems Design Manager

EY; Westlake Village (CA); Hybrid; USD 173.000 - 374.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Medical & dental coverage + 401(k)

Flexible vacation policy

Zusammenfassung

EY seeks an experienced Lead AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise AI use cases. You will lead a team of AI Architects, shaping multi-agent systems with advanced memory patterns and context management, including RAG, semantic chunking, and distributed inference.

The role requires deep expertise in AI pre/post training, model synthesis, and scalable enterprise solutions.

Qualifikationen

• Advanced degree in EE/CS/Math required.
• 10+ years software engineering and AI experience.
• Experience with AI frontier models and memory/context architectures.
• Proficient with AI-native software tools and code assistance.
• Familiar with scripting languages (Python, Bash) and languages like Go, Rust, Java.

Aufgaben

• Design memory architectures for multi-agent systems.
• Design context systems including RAG and semantic search.
• Implement and test architectures with benchmarking.
• Develop replicable integration frameworks for memory architectures.
• Lead AI native design processes and mentor team members.
• Research emerging memory architectures and frontier models.
• Collaborate with AI, Security, Data, and Infra teams.
• Support business development for emerging tech.
• Present at academic conferences and assist IP filings.
• Hands-on coding and mentoring Knowledge/Data team.
• Lead experts in building Knowledge and data systems for Knowledge AI.

Kenntnisse

AI memory architectures

multi-agent design

context systems

inference optimization

AI-native tooling

Ausbildung

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

NVIDIA NVAIE

Azure AI

Cursor/Claude Code/GitHub tooling

Jobbeschreibung

EY seeks an experienced Lead AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise AI use cases. You will lead a team of AI Architects, shaping multi-agent systems with advanced memory patterns and context management, including RAG, semantic chunking, and distributed inference.

The role requires deep expertise in AI pre/post training, model synthesis, and scalable enterprise solutions.