Lead Domain AI Architect: Memory & Multi-Agent Systems

EY; Secaucus (NJ); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Medical and dental coverage

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 work on multi-agent memory systems, RAG, semantic search, and scalable integration across AI-native platforms.

The role requires 5+ years in software engineering and AI, expertise with frontier models, and experience with CI/CD and modern development tools. Hybrid work and a comprehensive benefits package are provided.

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

AI frontier models

Memory architectures

Context management

RAG

Semantic chunking

Distributed inference

Python

Shell scripting

Go/Rust/Java

CI/CD

NVIDIA NVAIE

Azure AI stacks

Cursor/Claude Code/Qodo/Codium/Gemini

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Github/Gitlab/Azure DevOps

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 work on multi-agent memory systems, RAG, semantic search, and scalable integration across AI-native platforms.

The role requires 5+ years in software engineering and AI, expertise with frontier models, and experience with CI/CD and modern development tools. Hybrid work and a comprehensive benefits package are provided.