Senior AI Architecture Lead: Memory & Multi-Agent Systems

EY; McLean (VA); Hybrid; USD 144,000 - 329,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package including health

401(k) plan

Job summary

EY is seeking an experienced Lead AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects and drive integration frameworks across multiple systems, focusing on scalable, multi-agent memory designs and advanced inference strategies.

The role requires deep expertise in AI native design, memory management, and collaboration with cross-functional teams.

Qualifications

• Advanced degree in Electrical Engineering, Computer Science or Mathematics.
• 10+ 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
• Lead a group of skilled experts in building Knowledge and data systems for Knowledge AI.

Skills

AI memory design

Multi-agent systems

Distributed inference

Python

CI/CD pipelines

GitHub/GitLab/Azure DevOps

Education

Advanced degree in EE/CS/Math

Tools

Cursor & Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

Job description

EY is seeking an experienced Lead AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects and drive integration frameworks across multiple systems, focusing on scalable, multi-agent memory designs and advanced inference strategies.

The role requires deep expertise in AI native design, memory management, and collaboration with cross-functional teams.