Senior AI Memory Architect for Multi-Agent Systems

EY; Phoenix (AZ); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY is seeking an experienced agent AI Software Architect to design and implement advanced memory architectures, data fabrics, and multi-agent systems for enterprise use cases. You will work on RAG, semantic chunking, and context design, collaborating with AI, security, data, and infrastructure experts to deliver scalable solutions.

The role involves hands-on coding, mentoring, and presenting research at conferences, with EY’s hybrid model and a focus on innovative IP development in a fast-paced

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.
• Familiar with AI native development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub).
• Familiar with scripting languages (Python, Bash) and software languages (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 CI/CD pipelines and modern code hosting (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 Architecture

Memory Architectures

Multi-agent Design

Context Systems (RAG)

Python/Go/Rust

Leadership

Complex systems thinking

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

Job description

EY is seeking an experienced agent AI Software Architect to design and implement advanced memory architectures, data fabrics, and multi-agent systems for enterprise use cases. You will work on RAG, semantic chunking, and context design, collaborating with AI, security, data, and infrastructure experts to deliver scalable solutions.

The role involves hands-on coding, mentoring, and presenting research at conferences, with EY’s hybrid model and a focus on innovative IP development in a fast-paced