Principal Solutions Architect (Glean Agents)

About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.

Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.  About the Role:   Glean is looking for a Principal Solutions Architect, Agents to help technical teams build agents that can automate real work processes. You’ll master the art of agent building, understand architectural best practices, and then translate those to the broader customer base and agent builders everywhere.   At Glean, we believe AI agents are the next generation of apps—working alongside and on behalf of users and teams to get high-value work done. Building these agents requires both an understanding of what’s possible with AI and how businesses operate. This combination of technical and business expertise is what will help enterprises accelerate their path to agent adoption. We’re looking for someone who has been hands-on building agents that transform businesses. You’ll play a key role in taking these learnings and educating the market: capturing the mindshare of technical teams building agents, building ready-to-use agents, and defining architectural best practices for agentic automation.   You will:

• Build and scale agents that transform how businesses operate, driving adoption through enablement resources such as implementation guides, blogs, and live build sessions.
• Understand enterprise agent architectures in depth and translate those learnings into whitepapers, consulting sessions, and best-practice guides for technical teams.
• Cultivate relationships with agent builders, capturing their feedback and turning it into actionable insights that deepen trust and engagement with Glean Agents.
• Empower technical teams by creating high-quality tutorials, how-to guides, and blog posts that demonstrate best practices and accelerate adoption of Glean Agents.
• Represent Glean at conferences and events showcasing real-world enterprise agent architectures and learnings.
  
  

About you:  

• 4+ years of experience in outbound solutions architecture, with a strong track record of understanding customer requirements, translating them into architectural best practices, and packaging product solutions that drive adoption. You should also have hands-on experience building agents.
• Deep understanding of AI models and agent systems — including planners, tool use, memory, context engineering, and evaluation — so you can clearly explain concepts and tradeoffs to technical teams.
• Ability to translate business goals into technical agent architectures, and package up resources for both internal and external teams on how to identify the right agents, design them effectively, and actually build them.
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