Lead AI Memory Architect for Multi-Agent Systems

EY

Chantilly (VA)

Teletrabalho

USD 126 000 - 230 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Hybrid work model
Medical and dental coverage
Pension and 401(k)
Generous paid time off

Resumo da oferta

EY seeks an experienced agent AI Software Architect to design and implement advanced memory architectures and data fabrics for enterprise use cases. You will work on replicable memory systems for multi-agent environments, develop context layers with RAG and semantic chunking, and benchmark architectures against both agent and human evaluations.

You will collaborate across AI, Security, Data and Infrastructure to deliver scalable, hybrid-work solutions and contribute to IP filings through

Qualificações

  • 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.

Responsabilidades

  • 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

Conhecimentos

Memory architectures
Multi-agent systems
RAG
Context design
AI inference optimization
Leadership & mentoring

Formação académica

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Ferramentas

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

Descrição da oferta de emprego

EY seeks an experienced agent AI Software Architect to design and implement advanced memory architectures and data fabrics for enterprise use cases. You will work on replicable memory systems for multi-agent environments, develop context layers with RAG and semantic chunking, and benchmark architectures against both agent and human evaluations.

You will collaborate across AI, Security, Data and Infrastructure to deliver scalable, hybrid-work solutions and contribute to IP filings through

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