Domain Architect - Knowledge AI - Manager

About the role

We're looking for an experienced Agent AI Software Architect to join our team. This role requires expertise in designing and implementing 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 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.
• 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.
• Present at academic conferences and support development of intellectual property (IP) 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.
• 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.
• Flexible vacation policy.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Hybrid model with in-person work expected 40-60% of the time.
• Equal employment opportunities.
• Reasonable accommodations for candidates with disabilities.