Domain Architect - Knowledge AI - Manager

About the role

We're looking for an experienced Agent AI Software Architect to design and implement AI memory architectures and data fabrics for complex enterprise use cases.

Responsibilities

• Design memory architectures for multi-agent systems to be replicated across AI-native designed systems.
• Design context systems including RAG and Skills with semantic chunking and search.
• 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.
• 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 filings.
• Hands-on coding and mentoring other members of the Knowledge/Data team.

Requirements

• Advanced degree in Electrical Engineering, Computer Science, or Mathematics.
• 5+ 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/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.

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.
• Build and manage strong internal and external partnerships by fostering trust, empathy, and mutual value.
• 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.
• Flexible vacation policy.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Opportunities to shape the future with confidence.
• A diverse and inclusive culture of globally connected teams.
• A hybrid model with most people in external, client-serving roles working together in person 40-60% of the time over the course of an engagement, project, or year.
• Additional information for candidates living in California.
• Ethical standards and integrity.
• Reasonable accommodations for candidates with disabilities.