Domain Architect - Knowledge AI - Manager

Location and Work Model

• Location is listed as anywhere in the country.
• Most external client-serving roles are expected to work together in person 40% to 60% of the time over an engagement, project, or year.

The Opportunity

Key Responsibilities

• Design replicable memory architectures for multi-agent systems.
• Design RAG and skills-based context systems with semantic chunking and search.
• Implement, test, and benchmark architectures against agent and human-designed evaluations.
• Design integration frameworks for memory architectures across multiple systems.
• Drive agent design requirements through an AI-native design process.
• Research emerging memory architectures and frontier model proposals.
• Collaborate with AI, security, data, and infrastructure architecture experts.
• Support emerging-technology business development, academic presentations, and IP filings.
• Code hands-on and mentor Knowledge and Data team members.

Required Qualifications

• Advanced degree in Electrical Engineering, Computer Science, or Mathematics.
• 5+ years of software engineering and AI experience.
• Experience with AI frontier models and memory or context architectures.
• Experience with AI-native development or code-assist tools.
• Familiarity with Python or Bash and languages such as Go, Rust, or Java.
• Understanding of AI-native design principles.
• Deep understanding of RAG, SFT, LoRA/PEFT, and context-based model customization.
• Experience with modern IDEs, CI/CD, and code hosting or collaboration tools.
• Experience with NVIDIA NVAIE and Microsoft Azure AI stacks.

Preferred Qualifications

• Large-scale cross-functional software development project experience is preferred.
• Excellent communication and leadership abilities are preferred.

Compensation and Benefits

• The stated US base salary range is $125,500 to $230,200.
• The stated base salary range for New York City Metro, Washington State, and most of California is $150,700 to $261,600.
• Compensation is determined by factors including education, experience, knowledge, skills, and geography.
• Benefits include medical and dental coverage, pension and 401(k) plans, and paid time off.