AI Platform Context Lead — Flexible, Remote Growth

AgileEngine, LLC.; Jacksonville (FL); Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine, LLC. seeks an AI Platform Context Lead to build the knowledge layer behind an enterprise AI ecosystem.

You will design and govern context and knowledge graphs, manage retrieval quality, and oversee agent integrations across Slack, Google Workspace, Glean, and AI assistants. You will partner with SMEs to create scalable, production-ready capabilities, evaluate platform components, and drive improvements in reliability, security, and cost efficiency while guiding teams on when to use

Qualifications

• Authorized to work in the US for any employer
• 6+ years in development roles with hands-on Tech Lead experience
• Designed or owned an end-to-end knowledge graph/enterprise context architecture
• Production AI agents, skills, or integrations using MCP, function calling, RAG, enterprise search
• Able to distinguish wrong retrieval vs missing context in eval traces and prioritize fixes by business impact
• Experience administering or engineering enterprise SaaS/AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT)
• Strong identity/access management, monitoring, and incident response
• Experience across multiple business functions; build checklists for unsupervised use
• Strong troubleshooting, technical writing, stakeholder communication; lead via influence
• Upper-intermediate English

Responsibilities

• Design and improve the company context and knowledge graph grounding search and responses
• Review agent outputs to catch missing or wrong context and backlog fixes
• Maintain cross-team visibility to fix context gaps architecturally
• Collaborate with SMEs to design, build, test AI agents, skills, prompts, workflows
• Decide whether a need is solved by a skill, workflow, connector, or knowledge-grounding
• Translate platform strategy into designs and implementation plans for production-ready capabilities
• Ensure implementations are scalable, secure, and standards-aligned
• Build and maintain connectors, APIs, and RAG/semantic-search patterns
• Develop discovery tooling and questions for teams to scope new AI use cases
• Enable functional groups to curate their own context with tooling and guidance
• Establish testing and evaluation practices for agent output quality, reliability, safety
• Configure, administer, and maintain Slack, Google Workspace/Gemini, Glean, and AI assistants
• Apply access-management, monitoring, and change-control; troubleshoot platform issues
• Implement data retention and sensitive-data handling controls with security/compliance
• Flag elevated connectors early and route to security for review
• Maintain technical documentation, runbooks, and vendor coordination
• Maintain incident-response and service-continuity procedures
• Drive continuous improvement in platform reliability, search quality, and cost efficiency

Skills

Knowledge graph design

Enterprise AI platforms

MCP

Function calling

RAG

AI agents

Slack / Google Workspace

Security & access mgmt

Stakeholder communication

Leadership by influence

Tools

Slack

Google Workspace

Glean

Claude

ChatGPT

Job description

AgileEngine, LLC. seeks an AI Platform Context Lead to build the knowledge layer behind an enterprise AI ecosystem.

You will design and govern context and knowledge graphs, manage retrieval quality, and oversee agent integrations across Slack, Google Workspace, Glean, and AI assistants. You will partner with SMEs to create scalable, production-ready capabilities, evaluate platform components, and drive improvements in reliability, security, and cost efficiency while guiding teams on when to use