Lead AI Architect: Memory & Multi-Agent Systems

EY

St. Louis (MO)

Hybrid

USD 144,000 - 329,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Competitive compensation
401(k) plans
Medical and dental coverage
Paid time off

Job summary

EY is seeking an experienced Lead AI Software Architect to design and implement AI memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects focused on multi-agent memory design, context systems, RAG, and semantic search capabilities.

The role requires hands-on coding, mentoring, and collaboration with AI, Security, Data, and Infra teams to deliver scalable AI solutions in a dynamic environment. Hybrid work and advanced compensation are offered.

Qualifications

  • Advanced degree in Electrical Engineering, Computer Science or Mathematics.
  • 10+ years of experience in software engineering and AI.
  • Experience with AI frontier models and memory/context architectures.
  • Familiar with AI native tooling (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub).
  • Proficient in scripting and programming languages (Python, Bash, Go, Rust, Java).
  • Understand AI Native design process and principles.
  • Deep understanding of model fine tuning and customization through context management (RAG, SFT, LoRA/PEFT).
  • Experience with CI/CD, GitHub/GitLab/Azure DevOps, and Nvidia NVAIE/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

AI architecture design
Memory architectures
Multi-agent systems
Mentoring engineers
Cross-functional collaboration

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor/Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub
Python
Go
Rust
Java

Job description

EY is seeking an experienced Lead AI Software Architect to design and implement AI memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects focused on multi-agent memory design, context systems, RAG, and semantic search capabilities.

The role requires hands-on coding, mentoring, and collaboration with AI, Security, Data, and Infra teams to deliver scalable AI solutions in a dynamic environment. Hybrid work and advanced compensation are offered.

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