Lead AI Memory Architect for Multi-Agent Systems

EY; Palo Alto (CA); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

401(k) plan with company match

Paid time off

Job summary

EY is seeking an experienced agent AI Software Architect in the United States to craft memory architectures and data fabrics for complex enterprise AI. You’ll design multi-agent memory patterns, RAG-driven context systems, and scalable integration frameworks, while mentoring the Knowledge/Data team and contributing to IP development.

The role demands strong technical leadership, collaboration across AI, security, and infra teams, and hands-on coding in a fast-paced environment.

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.
• 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 IDEs, CI/CD, code hosting platforms (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 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 memory architecture across multiple systems.
• Drive agent design requirements and implement through AI Native design process.
• Assess emerging memory architectures and frontier model proposals.
• Collaborate with architectural experts in AI, Security, Data and Infrastructure for balanced outcomes.
• Support strategic business development activities for emerging technology.
• Present at academic conferences and support IP filings.
• Hands-on coding and mentoring Knowledge/Data team.

Skills

Analytical thinking

Leadership & mentoring

Cross-functional collaboration

Critical thinking

Emotional intelligence

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 agent AI Software Architect in the United States to craft memory architectures and data fabrics for complex enterprise AI. You’ll design multi-agent memory patterns, RAG-driven context systems, and scalable integration frameworks, while mentoring the Knowledge/Data team and contributing to IP development.

The role demands strong technical leadership, collaboration across AI, security, and infra teams, and hands-on coding in a fast-paced environment.