AI Platform Context Lead: Knowledge Graph & RAG Architect

INGEPSY; Cartagena de Indias; Presencial; COP 373.680.000 - 467.101.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking an AI Platform Context Lead to design and maintain the knowledge graph and context layer that grounds enterprise AI. You will shape schemas, ensure retrieval quality, and collaborate with cross-functional teams across security, data, and product to turn strategy into reliable, scalable capabilities.

You will build and evaluate AI agents, prompts, and workflows, decide where logic belongs, and drive platform reliability, scalability, and cost efficiency while maintaining

Formación

• 6+ years of experience in development roles and hands-on Tech Lead experience.
• Owned design/ownership of an end-to-end knowledge graph or enterprise context/retrieval architecture.
• Proven track record building production AI agents, skills, or integrations (MCP, function calling, RAG, enterprise search).
• Ability to distinguish retrieval errors from missing context and prioritize fixes by impact.
• Experience administering or engineering enterprise SaaS, search, or AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong systems administration: identity/access management, monitoring, incident response.

Responsabilidades

• Design, curate, and improve the knowledge graph grounding search and agent responses.
• Review outputs to identify context gaps and turn findings into backlog fixes.
• Maintain visibility across teams to fix systemic context gaps architecturally.
• Partner with SMEs to design, build, test, and maintain AI agents, skills, prompts, and workflows.
• Decide whether a need is best solved by a skill, workflow, connector, or knowledge-graph grounding.
• Translate strategy into designs, integrations, and plans; pilot-to-production transitions.
• Ensure scalable, secure implementations aligned with standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns with proper permissions.
• Develop discovery tooling and question sets for others to scope new use cases.
• Enable functional groups to curate context with tooling and guidance.
• Establish testing/evaluation practices for agent output quality and safety.
• Configure and maintain Slack, Google Workspace/Gemini, Glean, and other AI assistants.
• Apply access-management, monitoring, and change-control; troubleshoot platform issues.
• Implement data controls with security, privacy, and compliance teams.
• Flag elevated connectors early and route to security for review.
• Maintain documentation, runbooks, and vendor coordination.
• Maintain incident-response and service-continuity procedures.
• Drive continuous platform reliability, search quality, and cost efficiency.

Conocimientos

Tech Lead

Knowledge graph

Enterprise AI platforms

MCP

Function calling

RAG

AI agents

Incident response

Identity management

Stakeholder comms

Slack

Google Workspace

Glean

Claude

ChatGPT

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 and context layer that grounds enterprise AI. You will shape schemas, ensure retrieval quality, and collaborate with cross-functional teams across security, data, and product to turn strategy into reliable, scalable capabilities.

You will build and evaluate AI agents, prompts, and workflows, decide where logic belongs, and drive platform reliability, scalability, and cost efficiency while maintaining