Lead AI Architect: Memory & Multi-Agent Systems

EY; Dallas (TX); Hybrid; USD 144,000 - 329,000; Full time

Job summary

EY is seeking an experienced Lead AI Software Architect to design memory architectures and data fabrics for enterprise use cases, leading a team of AI Architects to implement advanced multi-agent memory systems.

You will guide RAG, semantic chunking, and context capabilities, optimize distributed inference, and collaborate across AI, Security, Data, and Infrastructure domains while pursuing IP opportunities and industry engagement.

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.
• Proficiency with AI native development tools and code assistants (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 IDEs, CI/CD pipelines and collaboration tools (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
• Lead a group of skilled experts in building Knowledge and data systems for Knowledge AI.

Skills

Analytical skills

Leadership

Cross-functional collaboration

Emotional intelligence

Critical thinking

Problem solving

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

NVIDIA NVAIE

Azure AI

Job description

EY is seeking an experienced Lead AI Software Architect to design memory architectures and data fabrics for enterprise use cases, leading a team of AI Architects to implement advanced multi-agent memory systems.

You will guide RAG, semantic chunking, and context capabilities, optimize distributed inference, and collaborate across AI, Security, Data, and Infrastructure domains while pursuing IP opportunities and industry engagement.