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 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
MUST HAVES - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. Has designed and/or owned a knowledge graph or enterprise context/retrieval architecture end to end, not merely queried one that someone else built.
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
- 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
- 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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