Lead AI Architect - Memory & Multi-Agent Systems

EY

Toledo (OH)

On-site

USD 144,000 - 374,000

Full time

3 hours ago

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Benefits offered by this job

Hybrid work model

Flexible vacation policy

Medical and dental coverage

Pension and 401(k) plans

Job summary

EY is hiring an experienced Lead AI Software Architect to design and implement AI memory architectures, data fabrics, and multi-agent systems for complex enterprise use cases. You will lead a team of AI Architects, drive RAG and semantic search strategies, and optimize distributed inference across scalable platforms.

The role requires deep knowledge of AI pre/post training, model synthesis, and hands-on coding.

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.