Lead AI Platform Context & Knowledge Graph Architect

AgileEngine, LLC.; Ciudad de Mendoza; Híbrido; ARS 180.802.000 - 241.069.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500 and

Flextime

Descripción de la vacante

AgileEngine seeks a seasoned AI Platform Context Lead to architect and operate the knowledge graph and grounding layer for an enterprise AI ecosystem. You will shape retrieval, governance, and agent integrations across Slack, Google Workspace, Glean, and AI assistants, delivering scalable, secure capabilities with strong cross-team collaboration.

You will partner with SMEs to design, test, and maintain agents, prompts, and workflows, and translate platform strategy into production-ready designs

Formación

• 6+ years of experience in development roles and hands-on Tech Lead experience.
• Designed and owned knowledge graph or enterprise context/retrieval architecture end to end.
• Produced production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
• Able to distinguish wrong vs. right retrieval and prioritize fixes by business impact.
• Experience with enterprise SaaS platforms and AI tooling such as Slack, Google Workspace, and AI assistants.

Responsabilidades

• Design, curate, and improve the company context and knowledge graph with ongoing baselines and retrieval quality.
• Review agent outputs and turn findings into a prioritized backlog of fixes.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Design, build, test, and maintain AI agents, skills, prompts, and workflows.
• Decide whether needs are 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 aligned with standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns with permissions.
• Develop discovery tooling and question sets for teams to scope new AI use cases.
• Enable teams to curate context through tooling and guidance.
• Establish testing and evaluation practices for agent output reliability and safety.
• Configure, administer, and maintain Slack, Google Workspace/Gemini, Glean, and other AI assistants.
• Apply access-management, monitoring, and change-control practices; troubleshoot issues.
• Implement data retention and sensitive-data controls with security and compliance teams.
• Maintain documentation, runbooks, and vendor coordination.
• Maintain incident-response and service-continuity procedures.
• Drive continuous improvements in platform reliability, search quality, and cost efficiency.

Conocimientos

Tech Lead

Knowledge graph design

AI agent development

SaaS / enterprise platforms

Identity access mgmt

Herramientas

Slack

Google Workspace

Glean

Claude

ChatGPT

Descripción del empleo

AgileEngine seeks a seasoned AI Platform Context Lead to architect and operate the knowledge graph and grounding layer for an enterprise AI ecosystem. You will shape retrieval, governance, and agent integrations across Slack, Google Workspace, Glean, and AI assistants, delivering scalable, secure capabilities with strong cross-team collaboration.

You will partner with SMEs to design, test, and maintain agents, prompts, and workflows, and translate platform strategy into production-ready designs