Senior Manager - Lead AI Architect - Knowledge AI

About the role

We're looking for an experienced AI Software Architect to lead the design and implementation of AI memory architectures and data fabrics for complex enterprise use cases. This role involves leading a team of AI Architects who specialize in designing advanced memory architectures, context systems, and multi-agent memory communication systems.

Responsibilities

• Design memory architectures for multi-agent systems to be replicated across AI-native designed systems.
• Develop context systems including RAG and Skills with semantic chunking and search capabilities.
• Implement and test these architectures, benchmarking performance against agent and human-designed evaluations.
• Create replicable integration frameworks for use of memory architecture across multiple systems.
• Drive agent design requirements and implement through AI-native design processes.
• Conduct primary and secondary research to assess emerging memory architectures and frontier model proposals.
• Collaborate with other architectural experts in AI, Security, Data, and Infrastructure to ensure balanced and practical outcomes.
• Present at academic conferences and support the development of intellectual property (IP) filings.
• 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.
• Experience with AI native software development tools and code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub).
• Familiarity with scripting languages (Python, Bash) and software languages (Go, Rust, Java).
• Deep understanding of model fine-tuning and customization through context management (RAG, SFT, LoRA/PEFT).
• Experience with modern software IDE, CI/CD pipelines, modern code hosting and collaboration (GitHub/GitLab/Azure DevOps).
• Experience with Nvidia NVAIE and Microsoft Azure AI stacks.
• Experience with large-scale cross-functional software development projects.
• Excellent communication and leadership abilities.

Attributes for Success

• Strong analytical and troubleshooting skills.
• Ability to lead software architectural product functions and mentor junior engineers.
• Comfort working across cross-functional teams and managing competing priorities.
• Leverage emotional agility and hybrid collaboration to navigate diverse stakeholder needs and drive long-term engagement.
• Use critical thinking and creative reasoning to address complex problems and exceed expectations.
• Align cross-functional teams around shared goals, ensuring accountability and progress.
• Use emotional intelligence and hybrid collaboration to motivate others and deliver high-impact results.

What We Offer

• Comprehensive compensation and benefits package.
• Base salary range from $144,000 to $329,100 in the US, and from $172,800 to $374,000 in the New York City Metro Area, Washington State, and California (excluding Sacramento).
• Flexible vacation policy allowing you to decide how much vacation time you need based on your personal circumstances.
• Access to EY's global network and diverse ecosystem partners.
• Opportunities to learn and grow with future-focused skills and world-class experiences.
• A supportive and inclusive culture that values diversity and promotes ethical standards.