Head of AI Context & Knowledge Graph

AgileEngine, LLC.

Port Charlotte (FL)

On-site

USD 150,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Job summary

AgileEngine is seeking an AI Platform Context Lead to design and manage the knowledge graph and context layer that grounds enterprise AI, with integration across Slack, Google Workspace, Glean, and AI assistants. You will drive evaluation, governance, and scalable patterns, partnering with SMEs to build AI agents and workflows, and ensure secure, reliable platform operations.

This role requires 6+ years in development with hands-on leadership and experience in enterprise search, RAG, MCP, and

Qualifications

  • 6+ years of development experience with hands-on Tech Lead responsibilities.
  • Designed knowledge graph or end-to-end enterprise context/retrieval architecture.
  • Produced AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
  • Distinguish wrong retrieval from missing context and prioritize fixes by business impact.
  • Hands-on experience with enterprise SaaS/AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
  • Strong identity/access management, monitoring, and incident response background.
  • Experience collaborating across multiple business functions; able to document needs for unsupervised use.

Responsibilities

  • Design and improve the knowledge graph grounding search and agent responses with ongoing baseline accuracy.
  • Review agent outputs and backlog fixes to address context gaps impacting intent.
  • Maintain cross-team visibility to fix systemic context gaps architecturally.
  • Collaborate with SMEs to design, build, test AI agents, skills, prompts, and workflows.
  • Decide if a need is best solved by a skill, workflow, connector, or knowledge-graph grounding.
  • Translate platform strategy into technical designs, integrations, and implementation plans.
  • Ensure implementations are scalable, secure, and compliant with standards.
  • Build and maintain connectors, APIs, and RAG/semantic-search patterns.

Skills

Knowledge graph
AI agents
MCP
Function calling
RAG
Enterprise search
Slack integration
Google Workspace
Glean
Claude
ChatGPT
Identity management
Incident response

Tools

Slack
Google Workspace
Claude
ChatGPT
Glean

Job description

AgileEngine is seeking an AI Platform Context Lead to design and manage the knowledge graph and context layer that grounds enterprise AI, with integration across Slack, Google Workspace, Glean, and AI assistants. You will drive evaluation, governance, and scalable patterns, partnering with SMEs to build AI agents and workflows, and ensure secure, reliable platform operations.

This role requires 6+ years in development with hands-on leadership and experience in enterprise search, RAG, MCP, and

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