Knowledge AI Architect: Memory & Multi-Agent Lead

EY

Tampa (FL)

Hybrid

USD 126,000 - 230,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
401(k) retirement plan

Job summary

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for enterprise AI. You will build multi-agent systems with RAG, semantic chunking, and scalable inference across distributed architectures.

You will mentor the Knowledge/Data team, present at academic conferences, and contribute to IP development while collaborating with AI, Security, Data, and Infra to deliver balanced, practical outcomes.

Qualifications

  • Advanced degree in Electrical Engineering, Computer Science or Mathematics.
  • 5+ years of software engineering and AI experience.
  • Experience with AI frontier models and memory/context architectures.
  • Familiar with AI native development tools such as Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub.
  • Proficiency in scripting languages (Python, Bash) and software languages (Go, Rust, Java).

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

AI memory architectures
Multi-agent systems
RAG and semantic search
Python scripting

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

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

Job description

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for enterprise AI. You will build multi-agent systems with RAG, semantic chunking, and scalable inference across distributed architectures.

You will mentor the Knowledge/Data team, present at academic conferences, and contribute to IP development while collaborating with AI, Security, Data, and Infra to deliver balanced, practical outcomes.

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