AI Context Platform Lead - Flexible Work & Impact

AgileEngine; Ciudad de Mendoza; Híbrido; ARS 228.596.000 - 320.034.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD compensation

Fortune 500/top-brand projects

Flextime: home + office

Descripción de la vacante

AgileEngine is seeking an AI Platform Context Lead to build the context and knowledge layer behind an enterprise AI ecosystem. You will design, test, and maintain a knowledge graph, agent integrations, and self-service patterns across Slack, Google Workspace, Glean, and AI assistants.

You will evaluate platform capabilities, ensure security and scalability, and partner with experts to implement reliable, production-ready capabilities.

Formación

• 6+ years in development roles with hands-on Tech Lead experience.
• Designed or owned a knowledge graph or enterprise retrieval architecture end-to-end.
• Produced production-quality AI agents, skills, or integrations using MCP, function calls, RAG, and enterprise search.
• Ability to identify retrieval errors and prioritize fixes by business impact.
• Experience administering enterprise SaaS, search, or AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong systems administration, IAM, monitoring, and incident response skills.
• Excellent cross-functional collaboration and stakeholder communication.
• Upper-intermediate English level.

Responsabilidades

• Design, curate, and improve the company context and knowledge graph grounding search and agent responses.
• Review agent outputs, create backlog of fixes for missing or wrong context, and drive fixes.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Collaborate with SMEs to build AI agents, skills, prompts, and workflows.
• Decide whether needs are best solved by skills, workflows, connectors, or knowledge-graph grounding.
• Translate platform strategy into technical designs and implement reliable capabilities.
• Ensure scalability, security, and alignment with standards.
• Build connectors, APIs, and RAG/semantic-search patterns while preserving permissions.
• Develop discovery tooling and self-serve question sets for AI use cases.
• Enable teams to curate their own context via tooling and guidance.
• Establish testing and evaluation for agent output quality and safety.
• Configure and maintain Slack, Google Workspace/Gemini, Glean, and other assistants.
• Apply access-management, monitoring, and change-control best practices.
• Develop security-guided data handling and retention controls with teams.
• Flag elevated access needs early and route to security for review.
• Maintain documentation, runbooks, and vendor coordination.
• Maintain incident response and service continuity procedures.
• Drive reliability, search quality, and cost efficiency improvements.

Conocimientos

Tech Lead

Knowledge graph design

Enterprise AI platforms

Evaluation & governance

Slack/Google Workspace integrations

English proficiency

Herramientas

MCP

Function calling

RAG

Glean

Slack

Google Workspace

Descripción del empleo

AgileEngine is seeking an AI Platform Context Lead to build the context and knowledge layer behind an enterprise AI ecosystem. You will design, test, and maintain a knowledge graph, agent integrations, and self-service patterns across Slack, Google Workspace, Glean, and AI assistants.

You will evaluate platform capabilities, ensure security and scalability, and partner with experts to implement reliable, production-ready capabilities.