Memory AI Architect for Multi-Agent Systems

EY; Nashville (TN); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY in the United States is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise use cases. You will work across multi-agent systems, RAG, semantic chunking, and advanced inference strategies.

This role demands hands-on coding, mentoring, and collaboration with AI, security, data, and infrastructure teams to deliver scalable solutions and drive strategic AI initiatives.

Qualifications

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

AI software engineering

Memory architectures

Multi-agent systems

RAG / semantic chunking

CI/CD tooling

Python scripting

Go / Rust / Java

NVIDIA NVAIE

Azure AI

Cursor / Claude Code / Qodo

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

GitHub

GitLab

Azure DevOps

Gazette CI/CD tools

Job description

EY in the United States is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise use cases. You will work across multi-agent systems, RAG, semantic chunking, and advanced inference strategies.

This role demands hands-on coding, mentoring, and collaboration with AI, security, data, and infrastructure teams to deliver scalable solutions and drive strategic AI initiatives.