Senior AI Memory Architect for Multi-Agent Systems

Ernst & Young Oman; Austin (TX); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Hybrid work model

Job summary

EY is hiring an experienced agent AI Software Architect to design memory architectures and data fabrics for enterprise AI. The role focuses on multi-agent systems, RAG, semantic chunking, and scalable inference in distributed environments.

You'll mentor the Knowledge/Data team, collaborate with AI, Security, Data and Infra, and contribute to IP filings. Hybrid work in the US with a competitive compensation package.

Qualifications

• Advanced degree in Electrical Engineering, Computer Science or Mathematics.
• 5+ 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

Skills

AI memory architectures

Multi-agent systems

RAG and semantic chunking

Distributed inference

Mentoring junior engineers

Analytical skills

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 hiring an experienced agent AI Software Architect to design memory architectures and data fabrics for enterprise AI. The role focuses on multi-agent systems, RAG, semantic chunking, and scalable inference in distributed environments.

You'll mentor the Knowledge/Data team, collaborate with AI, Security, Data and Infra, and contribute to IP filings. Hybrid work in the US with a competitive compensation package.