AI Platform Architect: Context & Knowledge Graph

AgileEngine, LLC.; Irving (TX); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500 and

Flextime

Job summary

AgileEngine, LLC. seeks an AI Platform Context Lead to build the knowledge layer for an enterprise AI ecosystem. You will design and curate the knowledge graph, govern retrieval, and integrate agents across Slack, Google Workspace, Glean, and AI assistants.

You will evaluate platform capabilities and translate strategy into scalable, secure implementations. You will partner with subject-matter experts to design, test, and maintain AI agents, skills, prompts, and workflows, balancing

Qualifications

• Authorized to work in the United States without visa sponsorship.
• 6+ years of development experience with hands-on Tech Lead responsibilities.
• Designed and/or owned a knowledge graph or enterprise context/retrieval architecture end-to-end.
• Experience building production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
• Able to distinguish wrong retrieval from right retrieval in eval traces and prioritize fixes by business impact.
• Hands-on experience with enterprise SaaS/AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong systems-administration background including identity/access management, monitoring, and incident response.

Responsibilities

• Design, curate, and improve the company context and knowledge graph for grounding search and agent responses, with ongoing quality baselines.
• Review agent outputs to identify context gaps and turn findings into prioritized fixes.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Design, build, test, and maintain AI agents, skills, prompts, and workflows using MCP, function calling, and RAG frameworks.
• Decide if a need is best solved by a skill, workflow, connector, or knowledge-graph grounding.
• Translate platform strategy into technical designs and production-ready capabilities.
• Ensure implementations are scalable, secure, and compliant with standards.

Skills

Knowledge graph design

AI agents integrations

MCP function calling

English - upper-intermediate

Cross-functional collaboration

Troubleshooting & stakeholder comms

Architectural thinking

Security and access management

Incident response

Tools

Slack

Google Workspace

Glean

Claude

ChatGPT

Job description

AgileEngine, LLC. seeks an AI Platform Context Lead to build the knowledge layer for an enterprise AI ecosystem. You will design and curate the knowledge graph, govern retrieval, and integrate agents across Slack, Google Workspace, Glean, and AI assistants.

You will evaluate platform capabilities and translate strategy into scalable, secure implementations. You will partner with subject-matter experts to design, test, and maintain AI agents, skills, prompts, and workflows, balancing