AI Platform & Knowledge Graph Lead

AgileEngine, LLC.; Sur; Híbrido; COP 465.593.000 - 589.751.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. is seeking an AI Platform Context Lead to craft the knowledge layer for an enterprise AI ecosystem. You will shape the context and grounding for search and agent responses, collaborating across teams to ensure scalable, secure, and production-ready implementations.

You will partner with SMEs to design, test, and maintain AI agents, prompts, and workflows using MCP, function calling, and RAG. A strong systems background and cross-functional leadership are essential.

Formación

• 6+ years of experience in development roles; hands-on as a Tech Lead.
• Has designed and/or owned a knowledge graph or enterprise context/retrieval architecture end to end.
• Demonstrated experience building production-quality AI agents, skills, or integration using MCP, function calling, RAG, and enterprise search.
• Can distinguish wrong retrieval from right retrieval, prioritizing fixes by business impact.
• Hands-on experience administering or engineering enterprise SaaS, search, or AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong systems-administration background, including identity/access management, monitoring, and incident response.

Responsabilidades

• Design, curate, and continuously improve the company context and knowledge graph grounding search and agent responses, with a baseline that improves over time.
• Review agent and skill outputs to catch cases where context gaps caused incorrect results, and backlog fixes by impact.
• Maintain cross-team visibility to ensure systemic context gaps are fixed architecturally, not patched repeatedly.
• Partner with subject-matter experts to design, build, test, and maintain AI agents, skills, prompts, and workflows using MCP and RAG.
• Decide whether needs are best solved by a skill, workflow, connector, or knowledge-graph grounding.
• Translate platform strategy into technical designs and implementation plans, turning pilots into production-ready capabilities.
• Ensure implementations are scalable, secure, and aligned with organizational standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns while preserving source permissions.
• Develop discovery tooling and question sets for teams to scope new AI use cases independently.
• Enable functional groups to curate their own context through tooling and guidance.
• Establish testing and evaluation practices for agent output quality, reliability, and safety.
• Configure, administer, and maintain Slack, Google Workspace/Gemini, Glean, and other AI assistants.
• Apply access-management, monitoring, and change-control best practices; troubleshoot complex platform issues.
• Implement data-retention controls in partnership with security and compliance teams.
• Maintain incident-response and service-continuity procedures.
• Drive continuous improvement in platform reliability, search quality, and cost efficiency.

Conocimientos

Tech Lead

Knowledge graph

AI agents

Retrieval architecture

MCP

Function calling

RAG

Enterprise search

Stakeholder communication

Cross-functional leadership

Herramientas

Slack

Google Workspace

Glean

Claude

ChatGPT

Descripción del empleo

AgileEngine, LLC. is seeking an AI Platform Context Lead to craft the knowledge layer for an enterprise AI ecosystem. You will shape the context and grounding for search and agent responses, collaborating across teams to ensure scalable, secure, and production-ready implementations.

You will partner with SMEs to design, test, and maintain AI agents, prompts, and workflows using MCP, function calling, and RAG. A strong systems background and cross-functional leadership are essential.