Lead AI Architect — Memory & Multi-Agent Systems

EY

Houston (TX)

Hybrid

USD 144,000 - 329,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Flexible vacation policy
Paid time off

Job summary

EY is hiring an experienced Lead AI Software Architect to design and implement advanced memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects, shaping multi-agent memory systems with RAG, semantic chunking, and scalable inference.

You will drive cross-functional collaboration across AI, security, data, and infrastructure to deliver practical, scalable solutions, and contribute to IP filings and academic engagements.

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.
  • Proficiency with AI native toolchains (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub).
  • Scripting languages (Python, Bash) and software languages (Go, Rust, Java).
  • Understanding of AI native design processes and principles.
  • Deep knowledge of model fine-tuning through context management (RAG, SFT, LoRA/PEFT).
  • Experience with IDEs, 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 context systems including RAG and Skills with semantic chunking and search.
  • Implement and test architectures benchmarking performance against agent and human evals.
  • Design replicable integration frameworks for memory architecture across multiple systems.
  • Drive agent design requirements and implement through AI native design process.
  • Assess emerging memory architectures and frontier model proposals through research.
  • Collaborate with AI, Security, Data and Infrastructure teams for balanced outcomes.
  • Support strategic business development activities for emerging technology.
  • Present at academic conferences and support IP development.
  • Hands-on coding and mentoring Knowledge/Data team members.
  • Lead a group of experts in building Knowledge and Data systems for Knowledge AI.

Skills

AI architecture
Multi-agent systems
Memory architectures
Leadership
Cross-functional collaboration
Python
Critical thinking

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 Lead AI Software Architect to design and implement advanced memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects, shaping multi-agent memory systems with RAG, semantic chunking, and scalable inference.

You will drive cross-functional collaboration across AI, security, data, and infrastructure to deliver practical, scalable solutions, and contribute to IP filings and academic engagements.

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