Enterprise AI Context Architect

AgileEngine, LLC.; Orlando (FL); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Selection of exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking an AI Platform Context Lead to build the knowledge layer behind an enterprise AI ecosystem. You will design and curate the context, optimize retrieval, and orchestrate agents, skills, and workflows across Slack, Google Workspace, Glean, and AI assistants.

You will partner with SMEs to evaluate platform capabilities, ensure scalable and secure implementations, and drive continuous improvement in search quality and cost efficiency across the organization.

Qualifications

• Authorized to work for any employer in the US.
• 6+ years in development roles with hands‑on Tech Lead experience.
• Designed and/or owned a knowledge graph or enterprise context/retrieval architecture end‑to‑end.
• Proven experience building production 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 admin/engineering experience with enterprise SaaS, search, or AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong IAM, monitoring, and incident response skills.
• Experience across multiple business functions; can turn questions into reusable checklists.
• Strong troubleshooting, technical writing, and stakeholder communication; able to influence without authority.

Responsibilities

• Design, curate, and improve the company context and knowledge graph grounding search and responses.
• Review agent outputs and create backlog fixes for context gaps impacting intent.
• Maintain cross‑team visibility to fix systemic context gaps architecturally.
• Collaborate with subject‑matter experts to build AI agents, 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 production plans.
• Ensure implementations are scalable, secure, and compliant with standards.
• Build connectors, APIs, and RAG/semantic‑search patterns with source‑system permissions.
• Develop discovery tooling and question sets for teams to scope new use cases.
• Provide tooling and guidance for functional groups to curate their own context.
• Establish testing and evaluation practices for agent output quality and safety.
• Configure and maintain Slack, Google Workspace/Gemini, Glean, and AI assistants.

Skills

6+ years exp

Tech Lead

Knowledge graph

AI agents

SaaS platforms

IAM

Cross-functional

Technical writing

Tools

Slack

Google Workspace

Glean

Claude

ChatGPT

Job description

AgileEngine, LLC. is seeking an AI Platform Context Lead to build the knowledge layer behind an enterprise AI ecosystem. You will design and curate the context, optimize retrieval, and orchestrate agents, skills, and workflows across Slack, Google Workspace, Glean, and AI assistants.

You will partner with SMEs to evaluate platform capabilities, ensure scalable and secure implementations, and drive continuous improvement in search quality and cost efficiency across the organization.