AI Platform Context & Knowledge Graph Lead

AgileEngine, LLC.

Richmond (VA)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Professional growth
Competitive compensation
A selection of exciting projects
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Job summary

AgileEngine, LLC. is seeking an AI Platform Context Lead in Richmond, VA to build the knowledge backbone for an enterprise AI ecosystem. You will design and maintain the context, ground search and agent responses, and work across Slack, Google Workspace, Glean, and AI assistants.

You will partner with SMEs to design, test, and maintain AI agents, skills, prompts, and workflows, ensuring scalable, secure, and production-ready implementations while improving answer quality over time.

Qualifications

  • Must have authorized to work in the US; no visa sponsorship available.
  • 6+ years of development experience with hands-on Tech Lead exposure.
  • Designed or owned end-to-end knowledge graph or enterprise context/retrieval architecture.
  • Production-grade AI agents/skills/integrations using MCP, function calling, RAG, and enterprise search.
  • Able to distinguish wrong vs. right retrieval in eval traces and prioritize fixes.

Responsibilities

  • Design, curate, and improve the knowledge graph and grounding for search and agent responses.
  • Review outputs to identify missing or incorrect context and backlog fixes by business impact.
  • Maintain cross-team visibility to fix systemic context gaps.
  • Partner with SMEs to design, build, test, and maintain AI agents, skills, prompts, and workflows.
  • Decide whether a need is best solved by a skill, workflow, connector, or knowledge-graph grounding.

Skills

6+ years of development experience
Tech Lead
Knowledge graph
AI agents / MCP / RAG
Enterprise SaaS / AI platforms

Tools

Slack
Google Workspace
Glean
Claude
ChatGPT

Job description

AgileEngine, LLC. is seeking an AI Platform Context Lead in Richmond, VA to build the knowledge backbone for an enterprise AI ecosystem. You will design and maintain the context, ground search and agent responses, and work across Slack, Google Workspace, Glean, and AI assistants.

You will partner with SMEs to design, test, and maintain AI agents, skills, prompts, and workflows, ensuring scalable, secure, and production-ready implementations while improving answer quality over time.

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