Senior AI Platform Context Lead — Remote & Flexible

AgileEngine, LLC.; San Miguel de Tucumán; Hybrid; ARS 184,482,000 - 261,349,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine in Argentina is seeking an AI Platform Context Lead to design and steward the knowledge graph behind our enterprise AI ecosystem. You will shape context, governance, and retrieval quality, collaborating with product, security, and engineering teams to deliver scalable, secure AI capabilities.

You will lead cross‑functional efforts to implement MCP, function calling, RAG, and enterprise search, building production‑grade agents and integrations while ensuring compliance with company

Qualifications

• 6+ years in development roles with hands-on Tech Lead.
• Designed and/or owned a knowledge graph or end-to-end retrieval architecture.
• Production-ready AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
• Able to distinguish wrong retrieval from right retrieval in eval traces and prioritize fixes by business impact.
• Experience with enterprise SaaS, search, or AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong systems-administration background including IAM, monitoring, and incident response.
• Experience turning asks into checklists for cross-functional use.
• Strong troubleshooting and stakeholder communication; able to lead through influence without direct authority.
• Upper-intermediate English level.

Responsibilities

• Design, curate, and improve the company context and knowledge graphgrounding search and agent responses.
• Review agent outputs and backlogs to fix context gaps affecting user intent.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Collaborate with subject-matter experts to design and maintain AI agents, prompts, and workflows.
• Decide whether needs are best solved by skill, workflow, connector, or knowledge-graph grounding.
• Translate platform strategy into technical designs and production-ready capabilities.
• Ensure implementations are scalable and secure per standards.
• Build connectors, APIs, and RAG/semantic-search patterns while preserving permissions.
• Develop discovery tooling and question sets for teams to scope new AI use cases.
• Enable functional groups to curate their own context with 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 assistants.
• Apply access-management and change-control best practices; troubleshoot complex platform issues.
• Implement data-retention and sensitive-data handling controls with security/compliance teams.
• Flag connectors needing elevated access early for security review.
• Maintain documentation, runbooks, and vendor coordination.
• Maintain incident-response and service-continuity procedures.
• Drive continuous improvement in platform reliability and cost efficiency.

Skills

Tech Lead

Knowledge graph design

Production AI agents

RAG & enterprise search

Slack / Google Workspace / Glean

IAM / monitoring / incident response

Cross-functional collaboration

English (upper-intermediate)

Tools

MCP

Function calling

Slack

Google Workspace

Glean

Claude

ChatGPT

Job description

AgileEngine in Argentina is seeking an AI Platform Context Lead to design and steward the knowledge graph behind our enterprise AI ecosystem. You will shape context, governance, and retrieval quality, collaborating with product, security, and engineering teams to deliver scalable, secure AI capabilities.

You will lead cross‑functional efforts to implement MCP, function calling, RAG, and enterprise search, building production‑grade agents and integrations while ensuring compliance with company