Lead AI Memory Architect - Knowledge AI

EY

Providence (RI)

Hybrid

USD 126,000 - 262,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Pension and 401(k) plans

Job summary

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for enterprise AI use cases. You will work on multi-agent memory systems, context design, RAG, semantic chunking, and scalable data fabrics for AI across complex environments.

You will mentor the Knowledge/Data team, collaborate with AI, Security, Data and Infrastructure colleagues, and drive innovative solutions from design through delivery in a fast-paced setting.

Qualifications

  • Advanced degree and 5+ years in software engineering and AI.
  • Experience with AI frontier models and memory/context architectures.
  • Familiarity with AI native development tools and CI/CD pipelines.

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.

Skills

Memory architectures
Multi-agent systems
RAG and semantic chunking
Context management

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub

Job description

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for enterprise AI use cases. You will work on multi-agent memory systems, context design, RAG, semantic chunking, and scalable data fabrics for AI across complex environments.

You will mentor the Knowledge/Data team, collaborate with AI, Security, Data and Infrastructure colleagues, and drive innovative solutions from design through delivery in a fast-paced setting.

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