Enterprise AI Memory Architect for Multi-Agent Systems

EY; Greenville (SC); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise AI use cases. You will work on advanced multi-agent memory patterns, RAG-enabled context systems, and scalable integration frameworks within EY's hybrid environment.

The role requires hands-on coding, mentoring, and collaboration across AI, Security, Data and Infra teams to deliver practical, cutting-edge AI solutions.

Qualifications

• Advanced degree in Electrical Engineering, Computer Science or Mathematics.
• 5+ years of experience in software engineering and AI.
• Experience working with AI Frontier models and memory / context architectures.
• Use of AI native software development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub).
• Familiarity with scripting languages (Python, Bash etc…) and software languages (Go, Rust, Java etc…).
• Understand AI Native design process and principles.
• Deep understanding of model fine tuning and customization through context management (RAG, SFT, LoRA/PEFT etc…).
• Experience with modern software IDE, CI/CD pipeline, modern code hosting and collaboration (Github/Gitlab/Azure DevOps etc…).
• Experience with Nvidia NVAIE and MSFT Azure AI stacks.

Responsibilities

• Design memory architectures for multi-agent systems to be replicated across AI native designed systems.
• Design of context systems including RAG and Skills with semantic chunking and search.
• Implement and test these architectures benchmarking performance against agent and human designed evals.
• Design replicable integration frameworks for use of memory architecture across multiple systems.
• Drive agent design requirements and implement through AI Native design process.
• Assess through primary and secondary research emerging memory architectures and frontier model proposals.
• Collaborate with other architectural experts in AI, Security, Data and Infrastructure to insure balanced and practical outcomes.
• Support strategic business development activities for emerging technology as required.
• Present at academic conferences and support development of IP filings
• Hands on coding and mentoring other members of the Knowledge / Data team

Skills

Analytical thinking

Leadership

Cross-functional collaboration

Problem solving

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Python

Go

Rust

Java

Bash

NVIDIA NVAIE

Azure AI

GitHub

CI/CD pipelines

Job description

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise AI use cases. You will work on advanced multi-agent memory patterns, RAG-enabled context systems, and scalable integration frameworks within EY's hybrid environment.

The role requires hands-on coding, mentoring, and collaboration across AI, Security, Data and Infra teams to deliver practical, cutting-edge AI solutions.