AI Platform Context Lead — Shape Enterprise Knowledge

INGEPSY; Metropolitana; Híbrido; COP 373.680.000 - 560.521.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD compensation

Exciting projects with Fortune 500s

Flextime: work from home and office

Descripción de la vacante

AgileEngine is seeking an AI Platform Context Lead to design and maintain the knowledge graph grounding search and agent responses across enterprise AI ecosystems. You will work with MCP, function calling, and RAG to build scalable, secure context layers and ensure high-quality agent outputs.

Lead cross-team initiatives, partner with subject-matter experts, and translate platform strategy into practical designs and production-ready capabilities.

Formación

• 6+ years of experience in development roles with hands-on Tech Lead experience.
• Designed and/or owned a knowledge graph or enterprise context/retrieval architecture end to end.
• Produced AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
• Able to 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 IAM, monitoring, and incident response.

Responsabilidades

• Design, curate, and continuously improve the knowledge graph grounding search and agent responses, with ongoing quality targets.
• Review agent outputs to identify missing or wrong context and turn findings into a prioritized backlog.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Design, build, test, and maintain AI agents, skills, prompts, and workflows using MCP, function calling, and RAG.
• Determine whether a need is best solved by a skill, workflow, connector, or knowledge-graph grounding.
• Translate platform strategy into technical designs and production-ready capabilities.
• Ensure implementations are scalable, secure, and compliant with standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns, preserving source permissions.
• Create discovery tooling and question sets for other teams to scope new AI use cases.
• Enable teams to curate their own context through tooling and guidance, not one-size-fits-all mandates.
• 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 and incident-response practices; troubleshoot complex platform issues.

Conocimientos

Knowledge graph design

AI agents

MCP

Function calling

RAG

Slack

Google Workspace

Glean

Claude

ChatGPT

IAM

Incident response

Technical writing

Cross-functional collaboration

Herramientas

Slack

Google Workspace

Glean

Claude

ChatGPT

Descripción del empleo

AgileEngine is seeking an AI Platform Context Lead to design and maintain the knowledge graph grounding search and agent responses across enterprise AI ecosystems. You will work with MCP, function calling, and RAG to build scalable, secure context layers and ensure high-quality agent outputs.

Lead cross-team initiatives, partner with subject-matter experts, and translate platform strategy into practical designs and production-ready capabilities.