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.
Why It Might Be a Fit
You will improve answer quality through evaluation, governance, and reusable self-service patterns, and partner with subject-matter experts to design, build, test, and maintain AI agents, skills, prompts, and workflows.
Requirements
- 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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