Knowledge AI Lead Architect | Multi-Agent Memory Systems

EY

Oklahoma City (OK)

Hybrid

USD 144,000 - 329,000

Full time

3 hours ago
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Job summary

EY is seeking an experienced Lead AI Software Architect to design and implement memory architectures and data fabric for enterprise AI use cases. Lead a team of AI Architects, focusing on multi-agent memory systems, context design, RAG, and advanced semantic chunking for scalable AI solutions.

The role requires 10+ years in software engineering and AI, with experience in frontier models, AI native toolchains, and distributed inference optimization.

Qualifications

  • Advanced degree in Electrical Engineering, Computer Science or Mathematics.
  • 10+ years of experience 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 modern IDE, CI/CD, code hosting and collaboration (GitHub/Gitlab/Azure DevOps).
  • 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
  • Lead a group of skilled experts in building Knowledge and data systems for Knowledge AI.

Skills

AI Frontier models
Memory architectures
CI/CD pipelines
Python
Bash
Go
Rust
Java
AI Native design
Model fine‑tuning
RAG/PEFT context management
NVIDIA NVAIE
Azure AI stacks
Leadership
Cross-functional collaboration

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub
GitHub
Gitlab
Azure DevOps
NVIDIA NVAIE
MSFT Azure AI stacks

Job description

EY is seeking an experienced Lead AI Software Architect to design and implement memory architectures and data fabric for enterprise AI use cases. Lead a team of AI Architects, focusing on multi-agent memory systems, context design, RAG, and advanced semantic chunking for scalable AI solutions.

The role requires 10+ years in software engineering and AI, with experience in frontier models, AI native toolchains, and distributed inference optimization.

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