AI Platform Context Lead — Remote & Flexible Hours

AgileEngine, LLC.; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC is seeking an AI Platform Context Lead to shape the knowledge layer for an enterprise AI ecosystem. You will design and govern the context, knowledge graph, and retrieval patterns, enabling scalable, secure AI that serves multiple teams.

Collaborate with subject-matter experts to build AI agents, prompts, and workflows, evaluate platform capabilities, and drive continuous improvements in search quality, scalability, and cost efficiency while maintaining governance and security

Qualifications

• You must be authorized to work for ANY employer in the US.
• 6+ years of experience in development roles, with hands-on as a Tech Lead.
• Has 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 and prioritize 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 across multiple business functions; turning questions into checklists for unsupervised use.
• Strong troubleshooting, technical writing, and stakeholder-communication skills; able to lead through influence without direct authority.

Responsibilities

• Design, curate, and continuously improve the company context and knowledge graph grounding search and agent responses.
• Review agent outputs and backlog fixes to resolve intent-breaking context gaps.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Partner with subject-matter experts 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 technical designs and implementation plans.
• Ensure implementations are scalable, secure, and aligned with standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns; preserve source permissions.
• Develop discovery tooling and question sets for teams to scope new use cases.
• Enable functional groups to curate context via tooling and guidance.
• Establish testing and evaluation practices for agent output quality and safety.
• Configure, administer, and maintain Slack, Google Workspace/Gemini, Glean, and other AI assistants.
• Apply access-management and change-control best practices; troubleshoot complex platform issues.
• Implement data retention and sensitive-data controls with security/compliance teams.
• Flag elevated connectors early and route to security for review.
• 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

6+ years experience

Knowledge graph

AI agents

MCP

Function calling

RAG

Enterprise search

Slack

Google Workspace

Glean

Claude

ChatGPT

Identity management

Monitoring

Incident response

Stakeholder management

Tools

Slack

Google Workspace

Glean

Claude

ChatGPT

Job description

AgileEngine, LLC is seeking an AI Platform Context Lead to shape the knowledge layer for an enterprise AI ecosystem. You will design and govern the context, knowledge graph, and retrieval patterns, enabling scalable, secure AI that serves multiple teams.

Collaborate with subject-matter experts to build AI agents, prompts, and workflows, evaluate platform capabilities, and drive continuous improvements in search quality, scalability, and cost efficiency while maintaining governance and security