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. The ideal candidate will have a strong background in software engineering and AI, with experience in enterprise multiagent design patterns, AI pre/post training, fine tuning/customization, and model synthesis.

Responsibilities

• Design memory architectures for multi-agent systems to be replicated across AI-native designed systems.
• Design and implement context systems including RAG and Skills with semantic chunking and search.
• Implement and test these architectures, benchmarking performance against agent and human-designed evaluations.
• Drive agent design requirements and implement through AI-native design processes.
• Assess emerging memory architectures and frontier model proposals through primary and secondary research.
• Collaborate with other architectural experts in AI, security, data, and infrastructure to ensure balanced and practical outcomes.
• Support strategic business development activities as required.
• Present at academic conferences and support 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 pipeline, 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

• Cumulative compensation and benefits package based on performance and recognition of individual contributions.
• Base salary range for the US is $144,000 to $329,100, with a higher range for 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.
• Additional benefits include medical and dental coverage, pension, and 401(k) plans, along with a wide range of paid time off options.
• A team-led and leader-enabled hybrid model where most people in external, client-serving roles work together in person 40-60% of the time over the course of an engagement, project, or year.

Equal Employment Opportunity

EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate-related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.