Senior AI Memory Architect for Multi-Agent Systems

EY

Westlake Village (CA)

Hybrid

USD 126,000 - 230,000

Full time

5 days ago
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Benefits offered by this job

Medical & dental coverage
Hybrid work model
Paid time off

Job summary

EY is hiring an experienced agent AI Software Architect to design and implement advanced memory architectures and data fabrics for enterprise multi-agent systems. You will lead memory design, RAG-enabled context systems, and scalable integration frameworks across AI-native platforms.

The role requires 5+ years in software engineering and AI, with hands-on coding and mentoring of the Knowledge/Data team. Strong collaboration across functional teams is essential in EY's hybrid environment.

Qualifications

  • Advanced degree required in relevant technical field.
  • 5+ years in software engineering and AI.
  • Experience with AI frontier models and memory/context architectures.
  • Familiar with AI native development tools and code assist.
  • Proficient in scripting languages (Python, Bash) and Go/Rust/Java.
  • Understanding of AI native design, model fine-tuning and context management (RAG, SFT, LoRA/PEFT).
  • Experience with CI/CD, GitHub/GitLab/Azure DevOps, Nvidia NVAIE and Azure AI stacks.

Responsibilities

  • Design memory architectures for multi-agent systems across replicated AI-native designs.
  • Design context systems with RAG, semantic chunking and search.
  • Implement, test and benchmark architectures against evals.
  • Create replicable integration frameworks for memory architectures.
  • Lead AI architecture requirements and mentor QA/Data team.
  • Conduct primary/secondary research on emerging memory architectures.
  • Collaborate with AI, Security, Data, Infrastructure teams for balanced outcomes.
  • Support business development and present IP at conferences.

Skills

AI software architecture
Memory architectures
RAG & semantic chunking
Python

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub

Job description

EY is hiring an experienced agent AI Software Architect to design and implement advanced memory architectures and data fabrics for enterprise multi-agent systems. You will lead memory design, RAG-enabled context systems, and scalable integration frameworks across AI-native platforms.

The role requires 5+ years in software engineering and AI, with hands-on coding and mentoring of the Knowledge/Data team. Strong collaboration across functional teams is essential in EY's hybrid environment.

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