AI Platform Context Lead: Knowledge Graph & Agents

AgileEngine, LLC.; Municipio de Rincón de los Sauces; Hybrid; ARS 215,229,000 - 292,096,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation: USD-based

Exciting projects

Flextime

Job summary

AgileEngine is seeking an AI Platform Context Lead to build the knowledge layer behind an enterprise AI ecosystem. The role combines knowledge-graph design, semantic retrieval, RAG, and agent integrations across Slack, Google Workspace, Glean, and AI assistants.

You will improve answer quality through evaluation, governance, and reusable self-service patterns. You will lead cross-team collaboration, design scalable and secure solutions, and own the end-to-end context strategy from pilots to

Qualifications

• 6+ years in development roles with hands-on Tech Lead experience.
• Designed or owned a knowledge graph or end-to-end enterprise context architecture.
• Built production-quality AI agents or integrations using MCP, RAG, and enterprise search.
• Can distinguish wrong vs right retrieval and prioritize fixes by business impact.
• Experience with enterprise SaaS platforms (Slack, Google Workspace, Glean, Claude).
• Strong systems administration, IAM, monitoring, and incident response.
• Ability to turn what to ask before starting into a reusable checklist.
• Upper-intermediate English proficiency.

Responsibilities

• Design, curate, and improve the knowledge graph and context for 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, test, and maintain AI agents, prompts, and workflows.
• Decide whether needs are best solved by skills, workflows, connectors, or knowledge-grounding.
• Translate platform strategy into designs and production-ready capabilities.
• Ensure scalable, secure implementations aligned with standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns.
• Develop discovery tooling and question sets for autonomous future use cases.
• Empower functional groups to curate their own context with tooling and guidelines.

Skills

Tech Lead

Knowledge graph

AI agents

MCP

RAG

SaaS platforms

Enterprise search

Stakeholder communication

English (Advanced)

Tools

Slack

Google Workspace

Glean

Claude

ChatGPT

MCP

Function calling

Job description

AgileEngine is seeking an AI Platform Context Lead to build the knowledge layer behind an enterprise AI ecosystem. The role combines knowledge-graph design, semantic retrieval, RAG, and agent integrations across Slack, Google Workspace, Glean, and AI assistants.

You will improve answer quality through evaluation, governance, and reusable self-service patterns. You will lead cross-team collaboration, design scalable and secure solutions, and own the end-to-end context strategy from pilots to