AI Memory Architect for Multi-Agent Systems

EY; Dallas (TX); Hybrid; USD 126,000 - 262,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Flexible vacation policy

Job summary

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for enterprise-scale, multi-agent systems. You’ll prototype RAG-based contexts, semantic chunking, and cross-system integration in a fast-paced environment.

The role requires leadership, hands-on coding, and collaboration with AI, Security, and Infra teams to deliver scalable AI solutions across client engagements. EY emphasizes flexible hybrid work and comprehensive rewards.

Qualifications

• Advanced degree required in EE, CS or Math.
• 5+ years in software engineering and AI.
• Experience 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) 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, and collaboration tools (Github/Gitlab/Azure DevOps).

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

Memory architectures

Multi-agent systems

AI

Cloud/AI tools

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor

Claude Code

Qodo/Codium

Gemini

Azure DevOps

NVIDIA NVAIE

Job description

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for enterprise-scale, multi-agent systems. You’ll prototype RAG-based contexts, semantic chunking, and cross-system integration in a fast-paced environment.

The role requires leadership, hands-on coding, and collaboration with AI, Security, and Infra teams to deliver scalable AI solutions across client engagements. EY emphasizes flexible hybrid work and comprehensive rewards.