Knowledge AI Domain Architect – Lead, Multi-Agent Memory

EY; Sacramento (CA); Hybrid; USD 151,000 - 262,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Paid time off

Job summary

EY is hiring an experienced agent AI Software Architect to design memory architectures and data fabrics for complex enterprise use cases. This role focuses on multi-agent systems, RAG, semantic chunking and scalable AI frameworks across AI-native environments.

You will mentor the Knowledge/Data team, drive cross-functional architecture decisions, and present research at conferences. A strong background in AI memory design, model fine-tuning, and industry collaboration is required.

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
• Use of AI native software development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub)
• Familiarity 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 modern software IDE, CI/CD pipeline, modern code hosting and collaboration (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

Memory architectures

Multi-agent systems

RAG

Semantic chunking

Python

Go

Rust

AI memory design

CI/CD

GitHub

Education

Advanced degree in Electrical Engineering

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

Job description

EY is hiring an experienced agent AI Software Architect to design memory architectures and data fabrics for complex enterprise use cases. This role focuses on multi-agent systems, RAG, semantic chunking and scalable AI frameworks across AI-native environments.

You will mentor the Knowledge/Data team, drive cross-functional architecture decisions, and present research at conferences. A strong background in AI memory design, model fine-tuning, and industry collaboration is required.