Senior AI Platform Lead: Knowledge Graph & Agents

Epam Systems Inc; Ciudad de Mendoza; On-site; ARS 231,811,000 - 293,627,000; Full time

Job summary

AgileEngine is seeking an AI Platform Context Lead to shape the knowledge layer behind an enterprise AI ecosystem. You will design a robust knowledge graph, manage schema, and improve retrieval quality across platforms.

You will collaborate with SMEs to build AI agents, prompts, and workflows, using MCP, function calling, and RAG. The role emphasizes governance, scalable patterns, and secure integrations with enterprise tools.

Qualifications

• 6+ years in development roles with hands-on Tech Lead experience.
• Designed or owned an end-to-end knowledge graph or enterprise context architecture.
• Built production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
• Distinguish wrong Retrieval vs right Retrieval and prioritize fixes by business impact.
• Experience engineering enterprise SaaS platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong systems administration including IAM, configuration, monitoring, and incident response.
• Upper-intermediate English.

Responsibilities

• Design and improve the knowledge graph grounding search and responses; manage schema, coverage, freshness, and retrieval quality.
• Review agent outputs and fix context gaps by user intent; create a prioritized backlog.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Collaborate with SMEs to build AI agents, prompts, and workflows using MCP and related frameworks.
• Decide whether a need is best solved by a skill, workflow, connector, or knowledge-graph grounding.
• Translate platform strategy into designs, integrations, and implementation plans; scale pilots to production.
• Ensure implementations are scalable, secure, and aligned with standards.
• Build connectors, APIs, and RAG/semantic-search patterns with source-system permissions.
• Develop discovery tooling and question sets for teams to scope new AI use cases.
• Enable functional groups to curate their context via tooling and guidance.
• Establish testing and evaluation practices for agent output quality, reliability, and safety.
• Configure, administer, and maintain Slack, Google Workspace.

Skills

Tech Lead

Knowledge Graph

Semantic Retrieval

RAG

Agent Integrations

SaaS Platforms

IAM & Monitoring

English Proficiency

Tools

Slack

Google Workspace

Glean

Claude

ChatGPT

Job description

AgileEngine is seeking an AI Platform Context Lead to shape the knowledge layer behind an enterprise AI ecosystem. You will design a robust knowledge graph, manage schema, and improve retrieval quality across platforms.

You will collaborate with SMEs to build AI agents, prompts, and workflows, using MCP, function calling, and RAG. The role emphasizes governance, scalable patterns, and secure integrations with enterprise tools.