Enterprise AI Context Architect & Platform Lead

INGEPSY; Perímetro Urbano Barranquilla; Híbrido; COP 435.961.000 - 622.801.000; Jornada completa

Descripción de la vacante

AgileEngine is seeking an AI Platform Context Lead to design and maintain the knowledge graph and context layer for an enterprise AI ecosystem. You will manage semantic retrieval, RAG, and agent integrations across Slack, Google Workspace, Glean, and AI assistants, ensuring high-quality, governance-backed outcomes.

You will collaborate with SMEs to implement strategies, patterns, and workflows, turning pilots into scalable, production-ready capabilities while maintaining security and operational

Formación

• 6+ years of development experience and hands-on Tech Lead experience.
• Designed or owned a knowledge graph or enterprise context/retrieval architecture end-to-end.
• Production‑level AI agents, skills, or integration using MCP, function calling, RAG, and enterprise search.
• Distinguish wrong vs right retrieval in eval traces and prioritize fixes by business impact.
• Experience with enterprise SaaS / AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong identity/access management, monitoring, and incident response capabilities.
• Ability to work across functions and turn questions into reusable checklists.
• Excellent troubleshooting and technical writing with stakeholder communication.

Responsabilidades

• Design, curate, and improve the knowledge graph grounding search and agent responses.
• Review agent outputs and backlog fixes to close context gaps.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Collaborate 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-grounding.
• Translate strategy into designs, integrations, and production plans; turn pilots into production-ready capabilities.
• Ensure implementations are scalable, secure, and standards-aligned.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns with source permissions.
• Create discovery tooling and question sets for teams to scope new AI use cases autonomously.
• Empower functional groups with tooling and guidance for context curation.
• Establish testing and evaluation practices for agent output quality and safety.
• Configure and maintain Slack and Google Workspace/Gemini, Glean, and other assistants.
• Apply access-management and change-control best practices; troubleshoot complex platform issues.
• Coordinate security reviews for elevated connectors; maintain technical docs and runbooks.
• Maintain incident-response and service-continuity procedures.

Conocimientos

6+ years experience

Tech Lead

Knowledge graph design

AI agents integration

Enterprise AI platforms

Identity & access mgmt

Cross-functional collaboration

Technical writing

Troubleshooting

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 for an enterprise AI ecosystem. You will manage semantic retrieval, RAG, and agent integrations across Slack, Google Workspace, Glean, and AI assistants, ensuring high-quality, governance-backed outcomes.

You will collaborate with SMEs to implement strategies, patterns, and workflows, turning pilots into scalable, production-ready capabilities while maintaining security and operational