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About the Role

We’re hiring an experienced Lead AI Software Architect expert in designing and implementing AI memory architectures and data fabric for complex enterprise use cases. This role will lead a team of AI Architects in building advanced memory architectures, context design, data fabrics for AI, and multi-agent memory communication systems. The ideal candidate thrives in fast-paced environments and is passionate about enabling scalable AI solutions.

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.

Requirements

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.
Experience with large-scale cross functional software development projects.
Excellent communication and leadership abilities.

Skills

AI memory architectures
Data fabric design
Multi-agent memory communication systems
Short term/long term memory design
Episodic memory design
Semantic memory design
Associative memory design
Advanced structural memory design
Dedicated memory architectures
Shared memory architectures
Federated memory architectures
Algorithmic approaches to selective retention and decay strategies
RAG
Skills and other context setting capabilities
Advance semantic chunking
Search capabilities
Inference optimization
Distributed inference for prefill and decode
Pipelining architectures/batching of inference
Enterprise multiagent design patterns
AI pre/post training
Fine tuning/customization
Model synthesis
Analytical and troubleshooting skills
Leadership
Mentoring junior engineers
Cross-functional team collaboration
Managing competing priorities
Building and managing partnerships
Emotional agility
Hybrid collaboration
Critical thinking
Creative reasoning
Emotional intelligence

Location

Anywhere in Country

Work Type

Hybrid
Full-time

Experience Level

10+ years of experience in software engineering and AI
Experienced

Education Level

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Salary/Compensations

$144,000 to $329,100 (US)
$172,800 to $374,000 (NYC Metro Area, Washington State, California excluding Sacramento)

Benefits

Medical and dental coverage
Pension and 401(k) plans
Flexible vacation policy
Paid time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

About the Company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities.