Lead Knowledge AI Memory Architect for Multi-Agent Systems

EY; Tucson (AZ); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Generous paid time off

Hybrid work model

Job summary

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise use cases. The role focuses on multi-agent memory design, RAG, semantic chunking, and distributed inference optimization across AI-native systems.

You will mentor the Knowledge/Data team, collaborate with AI, Security, Data and Infrastructure teams, and contribute to IP filings while engaging in academic conferences.

Qualifications

• Advanced degree in Electrical Engineering, Computer Science or Mathematics.
• 5+ years in software engineering and AI.
• Experience with AI frontier memory/context architectures.
• Experience with AI native development tools.
• Familiar with Python, Bash and languages like Go, Rust, Java.
• Understanding of AI Native design principles.
• Experience with model fine-tuning and context management (RAG, LoRA/PEFT).
• Experience with IDEs, CI/CD, GitHub/GitLab/Azure DevOps.
• Experience with Nvidia NVAIE and 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

Analytical skills

Leadership abilities

Cross-functional collaboration

Communication skills

Problem solving

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

Job description

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise use cases. The role focuses on multi-agent memory design, RAG, semantic chunking, and distributed inference optimization across AI-native systems.

You will mentor the Knowledge/Data team, collaborate with AI, Security, Data and Infrastructure teams, and contribute to IP filings while engaging in academic conferences.