Lead AI Architect for Memory & Multi-Agent Systems

EY; Los Angeles (CA); Hybrid; USD 144,000 - 329,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to design memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects, focusing on multi-agent memory design, RAG-enabled context systems, and scalable inference techniques.

The role demands deep knowledge of memory patterns, context management and model fine-tuning, with hands-on coding and mentorship. A fast-paced environment under EY’s hybrid work model awaits.

Qualifications

• Advanced degree in Electrical Engineering, Computer Science or Mathematics.
• 10+ years of experience in software engineering and AI.
• Experience with AI frontier models and memory/context architectures.
• Experience with AI native software development tools / code assist.
• 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 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 ensure balanced 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 architectures

Multi-agent systems

Memory/context design

RAG and semantic chunking

Inference optimization

Team leadership

Cross-functional collaboration

Critical thinking

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

NVIDIA NVAIE

Azure AI stacks

Job description

EY is seeking an experienced Lead AI Software Architect to design memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects, focusing on multi-agent memory design, RAG-enabled context systems, and scalable inference techniques.

The role demands deep knowledge of memory patterns, context management and model fine-tuning, with hands-on coding and mentorship. A fast-paced environment under EY’s hybrid work model awaits.