Enterprise AI Platform Lead

AgileEngine, LLC.; Texas City (TX); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. in Texas City, TX, is seeking an AI Platform Context Lead to build the knowledge layer for an enterprise AI ecosystem. You will design knowledge graphs, semantic retrieval, and RAG integration with Slack, Google Workspace, Glean, and AI assistants.

You will collaborate with subject-matter experts to architect scalable, secure, production-ready capabilities, and drive improvements in answer quality, governance, and tooling for cross-team use.

Qualifications

• 6+ years of experience in development roles with hands-on experience as a Tech Lead.
• Designed and/or owned a knowledge graph or enterprise context/retrieval architecture end to end.
• Demonstrated experience building production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
• Can distinguish wrong retrieval from right retrieval, prioritizing fixes by business impact.
• Hands-on experience administering or engineering enterprise SaaS, search, or AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong systems-administration background, including identity/access management, monitoring, and incident response.
• Experience working across multiple business functions to create reusable checklists.
• Strong troubleshooting, technical writing, and stakeholder-communication skills.

Responsibilities

• Design, curate, and improve the knowledge graph grounding search and agent responses with measurable accuracy and efficiency baselines.
• Review agent outputs to identify missing or incorrect context and backlog fixes.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Collaborate 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.
• Translate platform strategy into designs, integrations, and implementation plans.
• Ensure scalable, secure implementations aligned with standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns with proper permissions.
• Develop tooling to scope new AI use cases and empower other teams to self-serve.
• Enable functions to curate their own context via tooling and guidance.
• Establish testing and evaluation practices for agent output quality, reliability, and safety.
• Configure, administer, and maintain Slack, Google Workspace/Gemini, Glean, and other AI assistants.
• Apply access-management, monitoring, and change-control best practices; troubleshoot complex platform issues.
• Implement technical controls for access and data retention with security and privacy teams.
• Maintain documentation, runbooks, and vendor coordination.
• Maintain incident-response and service-continuity procedures.
• Drive continuous improvement in platform reliability, search quality, and cost efficiency.

Skills

Tech Lead

Knowledge graph

AI agents

MCP

Function calling

RAG

Enterprise search

Slack

Google Workspace

Glean

Claude

ChatGPT

IAM

Monitoring

Incident response

Cross-functional

Technical writing

Stakeholder communication

Tools

Slack

Google Workspace

Glean

Claude

ChatGPT

Job description

AgileEngine, LLC. in Texas City, TX, is seeking an AI Platform Context Lead to build the knowledge layer for an enterprise AI ecosystem. You will design knowledge graphs, semantic retrieval, and RAG integration with Slack, Google Workspace, Glean, and AI assistants.

You will collaborate with subject-matter experts to architect scalable, secure, production-ready capabilities, and drive improvements in answer quality, governance, and tooling for cross-team use.