AI Platform Context Lead — Remote & Flexible Hours

AgileEngine, LLC.; Argentina; Remoto; ARS 185.966.000 - 278.949.000; Tempo pieno

Descrizione del lavoro

AgileEngine, LLC. is seeking an AI Platform Context Lead to design and govern the context and knowledge graph underpinning an enterprise AI ecosystem.

You will drive semantic retrieval, evaluation, and governance while enabling scalable agent integrations across Slack, Google Workspace, and Glean. You will partner with SMEs to build, test, and maintain AI agents and workflows using MCP and RAG, translate strategy into technical designs, and ensure secure, scalable groundings and patterns across

Competenze

• 6+ years in development roles with hands-on Tech Lead experience.
• Has designed/owned a knowledge graph or enterprise context/retrieval architecture end to end.
• 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 (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong identity/access management, configuration, monitoring, and incident response.

Mansioni

• Design, curate, and continuously improve the knowledge graph and grounding for search and agent responses.
• Review agent outputs to identify context gaps and translate findings into a prioritized backlog.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Collaborate with subject-matter experts to design, test, and maintain AI agents, skills, prompts, and workflows.
• Decide whether to implement a need as a skill, workflow, connector, or knowledge-graph grounding and document it.

Conoscenze

Tech Lead

Knowledge graph design

MCP

RAG

Enterprise search

Strumenti

Slack

Google Workspace

Glean

Claude

ChatGPT

Descrizione del lavoro

AgileEngine, LLC. is seeking an AI Platform Context Lead to design and govern the context and knowledge graph underpinning an enterprise AI ecosystem.

You will drive semantic retrieval, evaluation, and governance while enabling scalable agent integrations across Slack, Google Workspace, and Glean. You will partner with SMEs to build, test, and maintain AI agents and workflows using MCP and RAG, translate strategy into technical designs, and ensure secure, scalable groundings and patterns across