Enterprise AI Context Architect – Platform Lead

AgileEngine, LLC.; Buenos Aires; Presencial; ARS 210.935.000 - 301.336.000; 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. seeks an AI Platform Context Lead to design and manage the enterprise context and knowledge graph powering search and AI agents. You will drive improvements across retrieval, governance, and self-service tooling, ensuring scalable, secure, and production-ready capabilities.

You will partner with SMEs to build and maintain AI agents, prompts, and workflows, while evaluating platform capabilities and aligning with security and compliance standards.

Formación

• 6+ years of development experience with hands-on Tech Lead responsibilities.
• Designed or owned an end-to-end knowledge graph or enterprise retrieval architecture.
• Experience building production AI agents or integrations using MCP, function calling, and RAG.
• Ability to identify retrieval gaps and prioritize fixes by business impact.
• Experience administering or engineering enterprise SaaS/AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong IAM, monitoring, and incident response skills.
• Experience collaborating across multiple business functions to enable unsupervised context curation.

Responsabilidades

• Design and continuously improve the company context and knowledge graph grounding search and agent responses.
• 150
• Review agent outputs and translate findings into a backlog to fix context gaps.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Partner with SMEs to design 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 and production-ready capabilities.
• Ensure implementations are scalable, secure, and standards-aligned.
• Build connectors, APIs, and RAG/semantic-search patterns with source permissions.
• Develop discovery tooling and question sets for teams to scope new use cases.
• 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 and maintain Slack, Google Workspace/Gemini, Glean, and other AI assistants.
• Apply access-management, monitoring, and change-control best practices.
• 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

MCP

Function calling

RAG

Enterprise search

Slack

Google Workspace

Glean

Claude

ChatGPT

Identity access management

Incident response

Herramientas

Slack

Google Workspace

Glean

Claude

ChatGPT

Descripción del empleo

AgileEngine, LLC. seeks an AI Platform Context Lead to design and manage the enterprise context and knowledge graph powering search and AI agents. You will drive improvements across retrieval, governance, and self-service tooling, ensuring scalable, secure, and production-ready capabilities.

You will partner with SMEs to build and maintain AI agents, prompts, and workflows, while evaluating platform capabilities and aligning with security and compliance standards.