Senior AI Memory Architect for Multi-Agent Systems

EY

Tulsa (OK)

Hybrid

USD 126,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Pension and 401(k) plans
Paid time off options

Job summary

EY in the United States seeks an experienced AI Software Architect focused on memory architectures and data fabrics for enterprise multi-agent use cases. You will design and implement AI memory and context systems, benchmark performance, and mentor a Knowledge/Data team.

The role involves hands-on coding, collaboration with AI, Security, Data, and Infra teams, and contributing to IP filings. A hybrid work model and comprehensive benefits are provided.

Qualifications

  • Advanced degree in Electrical Engineering, Computer Science or Mathematics.
  • 5+ years of experience in software engineering and AI.
  • Experience working 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 etc….) and software languages (Go, Rust, Java etc…).
  • Understand AI Native design process and principles
  • Deep understanding of model fine tuning and customization through context management (RAG, SFT, LoRA/PEFT etc…)
  • Experience with modern software IDE, CI/CD pipeline, modern code hosting and collaboration (Github/Gitlab/Azure DevOps etc…)
  • 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

Skills

Strong analytical skills
Leadership
Cross-functional collaboration
Emotional intelligence
Problem solving

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 in the United States seeks an experienced AI Software Architect focused on memory architectures and data fabrics for enterprise multi-agent use cases. You will design and implement AI memory and context systems, benchmark performance, and mentor a Knowledge/Data team.

The role involves hands-on coding, collaboration with AI, Security, Data, and Infra teams, and contributing to IP filings. A hybrid work model and comprehensive benefits are provided.

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