Role OverviewWe 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, review agent and skill outputs, maintain cross-team visibility, partner with subject-matter experts, and ensure implementations are scalable, secure, and aligned with organizational standards.
Why It Might Be a Fit
You will improve answer quality through evaluation, governance, and reusable self-service patterns, and drive continuous improvement in platform reliability, search quality, and cost efficiency over time.
Requirements
- Authorized to work for ANY employer in the US
- 6+ years of experience in development roles, with 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
- Strong systems-administration background, including identity/access management, configuration, monitoring, and incident response
- Experience working across multiple business functions
- Strong troubleshooting, technical writing, and stakeholder-communication skills
- Upper-intermediate English level
Benefits
- Professional growth
- Competitive compensation
- A selection of exciting projects
- Flextime
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