Lead AI Architect — Memory & Multi-Agent Systems

EY

Boston (MA)

Hybrid

USD 144,000 - 329,000

Full time

48 hours ago
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
401(k) plan
Paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to design and implement advanced memory architectures and data fabrics for enterprise AI at EY. You will lead a team of AI Architects, shaping how multi-agent memory, RAG, and context systems power scalable AI solutions across complex use cases.

The role demands deep expertise in memory architectures, inference optimization, and model synthesis, with responsibilities spanning hands-on coding, mentoring, and guiding strategic technology

Qualifications

  • Advanced degree in Electrical Engineering, Computer Science or Mathematics.
  • 10+ 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
  • Lead a group of skilled experts in building Knowledge and data systems for Knowledge AI.

Skills

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 is seeking an experienced Lead AI Software Architect to design and implement advanced memory architectures and data fabrics for enterprise AI at EY. You will lead a team of AI Architects, shaping how multi-agent memory, RAG, and context systems power scalable AI solutions across complex use cases.

The role demands deep expertise in memory architectures, inference optimization, and model synthesis, with responsibilities spanning hands-on coding, mentoring, and guiding strategic technology

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