Senior AI Memory Architect for Multi-Agent Systems

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

Benefits offered by this job

Total Rewards

Hybrid work

Paid time off

Job summary

EY in the United States is seeking an experienced agent AI Software Architect to design and implement advanced memory architectures and data fabrics for enterprise use cases. This role focuses on multi-agent systems, RAG, and context design to enable scalable AI solutions across environments.

The role requires leadership across cross-functional teams, mentoring, and hands-on coding, with a hybrid work model and a strong emphasis on innovation, performance benchmarking, and contributing to IP

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.
• Proficiency with AI native tools such as Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub.
• Scripting languages (Python, Bash) and languages (Go, Rust, Java).
• Understanding of AI native design process and model fine tuning (RAG, SFT, LoRA/PEFT).
• 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 / semantic search

Inference optimization

Memory architecture design

Algorithmic retention/decay

Federated memory

Debugging / troubleshooting

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

AWS Q

GitHub

Job description

EY in the United States is seeking an experienced agent AI Software Architect to design and implement advanced memory architectures and data fabrics for enterprise use cases. This role focuses on multi-agent systems, RAG, and context design to enable scalable AI solutions across environments.

The role requires leadership across cross-functional teams, mentoring, and hands-on coding, with a hybrid work model and a strong emphasis on innovation, performance benchmarking, and contributing to IP