Remote AI Platform Context Lead — Knowledge Graph & RAG

AgileEngine, LLC.; United States; Remoto; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

AgileEngine, LLC seeks an AI Platform Context Lead to build the 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.

You will improve answer quality through evaluation, governance, and reusable self-service patterns. Lead efforts to design, maintain, and evolve a scalable context-grounding platform, collaborating with SMEs and cross-functional teams to

Competenze

• 6+ years in development roles with hands-on Tech Lead experience.
• Designed or owned end-to-end knowledge-graph or enterprise context/retrieval architecture.
• Experience building production AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.

Mansioni

• Design, curate, and improve the company context and knowledge graph to ground search and agent responses.
• Review agent outputs and backlog fixes for missing or wrong context.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Partner with SMEs to design, build, test, and maintain AI agents, skills, prompts, and workflows.
• Decide if needs are best solved by skills, workflows, connectors, or knowledge-graph grounding.
• Translate platform strategy into technical designs and production-ready capabilities.
• Ensure scalable, secure implementations aligned with standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns with source-system permissions.
• Create discovery tooling and question sets for teams to scope new use cases.

Conoscenze

Tech leadership

Knowledge graph design

Evaluation & governance

Stakeholder communication

Cross-team collaboration

Strumenti

MCP

Function calling

RAG

Enterprise search

Slack

Google Workspace

Glean

Claude

ChatGPT

Descrizione del lavoro

AgileEngine, LLC seeks an AI Platform Context Lead to build the 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.

You will improve answer quality through evaluation, governance, and reusable self-service patterns. Lead efforts to design, maintain, and evolve a scalable context-grounding platform, collaborating with SMEs and cross-functional teams to