Memory AI Domain Architect – Multi-Agent Systems Lead

EY

Houston (TX)

Hybrid

USD 126,000 - 230,000

Full time

4 days ago
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Benefits offered by this job

Medical & dental coverage
Pension & 401(k)
Paid time off

Job summary

EY invites an experienced AI Software Architect to lead memory and context architecture for enterprise multi-agent systems. You will design replicated architectures, drive RAG-enabled context systems, and optimize inference with distributed approaches.

This role emphasizes hands-on coding, mentoring, and collaboration across AI, Security, Data, and Infrastructure teams within EY’s hybrid work model.

Qualifications

  • Advanced degree required 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 development tools and code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub).
  • Familiarity with Python, Bash and languages such as Go, Rust, Java.
  • Understanding of AI native design, model fine-tuning and context management (RAG, LoRA/PEFT).
  • Experience with Nvidia NVAIE and Azure AI stacks.

Responsibilities

  • Design memory architectures for multi-agent systems to be replicated across AI native systems.
  • Design context systems including RAG and semantic chunking with search.
  • Implement and test architectures, benchmarking against agent and human evals.
  • Create replicable integration frameworks for memory architectures across systems.
  • Drive agent design requirements via AI native design process.
  • Research emerging memory architectures and frontier model proposals.
  • Collaborate with AI, Security, Data and Infrastructure teams for balanced outcomes.
  • Support strategic business development for emerging technology as needed.
  • Present at academic conferences and assist IP development.
  • Hands-on coding and mentoring for Knowledge/Data team.

Skills

Analytical skills
Leadership
Cross-functional collaboration
Partnership building
Emotional intelligence
Critical thinking
Accountability

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub
Python
Bash
Go
Rust
Java
NVIDIA NVAIE
Azure AI

Job description

EY invites an experienced AI Software Architect to lead memory and context architecture for enterprise multi-agent systems. You will design replicated architectures, drive RAG-enabled context systems, and optimize inference with distributed approaches.

This role emphasizes hands-on coding, mentoring, and collaboration across AI, Security, Data, and Infrastructure teams within EY’s hybrid work model.

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