AI Platform Context Lead

We are looking for an AI Platform Context Lead to build the context and knowledge layer behind an enterprise AI ecosystem. The role combines knowledge-graph design, semantic retrieval, RAG, and agent integrations across Slack, Google Workspace, Glean, and AI assistants.

What You Will Do

- Design, curate, and continuously improve the company context and knowledge graph that grounds search and agent responses, managing schema, coverage, freshness, and retrieval quality as an ongoing responsibility rather than a one-time build, with a stated accuracy and efficiency baseline that improves over time.

Why It Might Be a Fit

You will improve answer quality through evaluation, governance, and reusable self-service patterns, and have the ability to lead through influence without direct authority.

Requirements

• Authorized to work for ANY employer in the US
• 6+ years of experience in development roles
• Hands-on experience as a Tech Lead
• Designed and/or owned a knowledge graph or enterprise context/retrieval architecture end to end
• Demonstrated experience building production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search
• Can distinguish 'wrong retrieval' from 'right retrieval, missing context' in an eval trace, and prioritize fixes by business impact
• Hands-on experience administering or engineering enterprise SaaS, search, or AI platforms
• Strong systems-administration background, including identity/access management, configuration, monitoring, and incident response
• Experience working across multiple business functions, with the ability to turn 'what should we ask before we start' into a checklist others can use unsupervised
• Strong troubleshooting, technical writing, and stakeholder-communication skills
• Upper-intermediate English level

Benefits

• Professional growth
• Competitive compensation
• A selection of exciting projects
• Flextime