Senior AI Memory Architect for Multi-Agent Systems

EY; Arlington (VA); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Pension plan

401(k)

Hybrid work model

Flexible vacation

Job summary

EY is seeking an experienced agent AI Software Architect to design memory architectures and data fabrics for complex enterprise use cases. You will implement multi-agent memory designs across AI-native systems, focusing on RAG, semantic chunking, and scalable replication.

The role requires advanced degrees and 5+ years in software engineering and AI, with hands-on coding and collaboration across AI, Security, Data, and Infrastructure teams.

Qualifications

• Advanced degree in electrical engineering, CS, or mathematics.
• 5+ years in software engineering and AI.
• Experience 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 Python, Bash, 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, 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

5+ years software engineering & AI

Memory/context architectures

AI frontier models

Python

Go

Rust

Java

CI/CD pipelines

NVIDIA NVAIE

Azure AI stacks

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

GitLab

Azure DevOps

NVIDIA NVAIE

Azure AI stacks

Job description

EY is seeking an experienced agent AI Software Architect to design memory architectures and data fabrics for complex enterprise use cases. You will implement multi-agent memory designs across AI-native systems, focusing on RAG, semantic chunking, and scalable replication.

The role requires advanced degrees and 5+ years in software engineering and AI, with hands-on coding and collaboration across AI, Security, Data, and Infrastructure teams.