Senior AI Architect & Memory Systems Lead

EY; Tucson (AZ); On-site; USD 144,000 - 329,000; Full time

Job summary

EY is seeking an experienced Lead AI Software Architect to design memory architectures and data fabrics for enterprise use cases. You will lead a team of AI Architects focused on multi-agent systems, RAG, semantic chunking, and scalable inference strategies in a fast-paced environment.

The role requires 10+ years in software engineering and AI, experience with frontier models and AI native tooling, and strong leadership to mentor the Knowledge/Data team and drive architecture decisions across

Qualifications

• Advanced degree in a technical field and strong AI foundation.
• 10+ years in software engineering and AI with leadership experience.
• Experience with frontier models and memory/context architectures.
• Familiarity with AI native code tools and modern development stacks.

Responsibilities

• Design memory architectures for multi-agent systems across AI-native designs.
• Develop context systems with RAG, semantic chunking, and search.
• Benchmark architectures against AI/evaluations and real workloads.
• Create reusable integration frameworks for cross-system memory usage.
• Drive design requirements and implement via AI-native processes.
• Review emerging memory architectures and frontier model proposals.
• Collaborate with AI, Security, Data, and Infra teams for practical outcomes.
• Mentor Knowledge/Data team and contribute to IP development.

Skills

AI frontier models

Memory architectures

Multi-agent systems

RAG

Semantic chunking

Inference optimization

AI native tooling

CI/CD

Python

Go

Rust

Java

NVIDIA NVAIE

Azure AI

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

Github/Gitlab/Azure DevOps

Job description

EY is seeking an experienced Lead AI Software Architect to design memory architectures and data fabrics for enterprise use cases. You will lead a team of AI Architects focused on multi-agent systems, RAG, semantic chunking, and scalable inference strategies in a fast-paced environment.

The role requires 10+ years in software engineering and AI, experience with frontier models and AI native tooling, and strong leadership to mentor the Knowledge/Data team and drive architecture decisions across