AI Platform Context Lead: Knowledge Graph & RAG

EY; Ciudad de Mendoza; Ibrido; ARS 230.602.000 - 353.590.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive compensation

Exciting projects

Flextime

Descrizione del lavoro

AgileEngine is seeking an AI Platform Context Lead to build and maintain the knowledge layer that grounds search and agent responses across enterprise AI ecosystems. You will design schema, coverage, freshness, and retrieval quality, shaping the system through governance and reusable patterns.

You will partner with experts to craft AI agents, prompts, and workflows, decide when to apply skills or knowledge graphs, and ensure secure, scalable platform implementations across Slack, Google

Competenze

• 6+ years in development roles, with hands-on experience as a Tech Lead.
• Designed and/or owned an end-to-end knowledge graph or enterprise context/retrieval architecture.
• Experience building production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.

Mansioni

• Design, curate, and improve the context and knowledge graph grounding search and agent responses, with an accuracy baseline.
• Review agent outputs to catch missing/wrong context and backlogs for fixes.
• Collaborate with experts to design, build, test, and maintain AI agents, skills, prompts, and workflows.

Conoscenze

6+ years of experience

Tech Lead

knowledge graph design

production-quality AI agents

retrieval/RAG

enterprise SaaS platforms

Slack/Google Workspace/Glean

systems administration

stakeholder communication

Descrizione del lavoro

AgileEngine is seeking an AI Platform Context Lead to build and maintain the knowledge layer that grounds search and agent responses across enterprise AI ecosystems. You will design schema, coverage, freshness, and retrieval quality, shaping the system through governance and reusable patterns.

You will partner with experts to craft AI agents, prompts, and workflows, decide when to apply skills or knowledge graphs, and ensure secure, scalable platform implementations across Slack, Google