Knowledge AI Domain Architect Lead

EY

Palo Alto (CA)

Hybrid

USD 126,000 - 262,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Total rewards package
Paid holidays

Job summary

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise use cases. The role focuses on multi-agent memory systems, RAG-enabled context and scalable AI pipelines in a fast-paced environment.

The ideal candidate has 5+ years in software engineering and AI, experience with frontier models, and proficiency with AI-native tools. Hybrid work and a comprehensive benefits package are offered.

Qualifications

  • Advanced degree in Electrical Engineering, Computer Science or Mathematics.
  • 5+ years of experience in software engineering and AI.
  • Experience with AI frontier models and memory/context architectures.
  • Proficiency with AI-native development tools (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub).
  • Familiarity with scripting languages (Python, Bash) and software languages (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 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 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 AI, Security, Data and Infrastructure teams for pragmatic outcomes.
  • Support strategic business development activities for emerging technology as required.
  • Present at academic conferences and support IP filings.
  • Hands-on coding and mentoring Knowledge/Data team.

Skills

AI memory architectures
Multi-agent design
RAG & semantic search
Inference optimization

Education

Advanced degree in Electrical Eng./CS/Math

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
GitHub

Job description

EY is seeking an experienced agent AI Software Architect to design and implement memory architectures and data fabrics for complex enterprise use cases. The role focuses on multi-agent memory systems, RAG-enabled context and scalable AI pipelines in a fast-paced environment.

The ideal candidate has 5+ years in software engineering and AI, experience with frontier models, and proficiency with AI-native tools. Hybrid work and a comprehensive benefits package are offered.

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