We are seeking a hands-on AI Platform Technical Lead to serve as the technical owner for a general-purpose, AI-enabled enterprise collaboration ecosystem. This role will design, build, integrate, operate, and improve production AI agents, reusable skills, workflows, search capabilities, and enterprise AI platform integrations. This is a hands-on individual contributor leadership role with no direct reports.

You will lead through technical expertise and influence by establishing standards, mentoring other contributors, reviewing technical solutions, and serving as a senior escalation point.

Enterprise Experience Strongly

Preferred - Design, build, test, deploy, and maintain production-quality AI agents, skills, prompts, tools, workflows, assistants, and automations.

- Build AI solutions using Model Context Protocol (MCP), function calling, APIs, agent frameworks, and integration technologies.
- Translate business requirements into technical designs, prototypes, and stable production-ready AI capabilities.
- Build secure integrations across collaboration, productivity, search, AI assistant, and enterprise systems.
- Develop APIs, data connectors, webhooks, search integrations, retrieval-augmented generation solutions, and semantic-search capabilities.
- Ensure AI systems preserve source-system permissions, access controls, data-security requirements, and governance policies.
- Design and evaluate grounding, citation, memory, retrieval, and context-management approaches for AI applications.
- Test and evaluate AI solutions for quality, reliability, safety, performance, grounding, and production readiness.
- Administer and optimize enterprise AI platforms, including access, configuration, integrations, monitoring, and lifecycle management.
- Troubleshoot complex AI platform, integration, connector, identity, search, and data-retrieval issues.
- Establish reusable technical standards and patterns for AI agents, integrations,



configurations, testing, deployment, and security.
- Lead technical solution reviews and provide technical guidance and mentoring to other administrators and engineers.
- Serve as a senior technical escalation point for complex AI platform and integration issues.
- Evaluate emerging AI capabilities and provide technical recommendations to platform leadership.

Qualifications Must-Have Skills - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations.

- Strong understanding of AI application concepts including agents and agentic workflows, skills and tools, function calling, Model Context Protocol, prompt and context design, retrieval-augmented generation, enterprise search, and data connectors.
- Strong understanding of grounding, citations, memory, context management, model and agent evaluation, AI safety, and access controls.
- Proven ability to move AI solutions from proof of concept to stable, supportable production services.
- Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms.
- Working knowledge of enterprise security, privacy, compliance, and data-governance principles.
- Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms.
- Practical experience with several enterprise collaboration and AI platforms such as Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT,



or comparable enterprise AI products.
- Strong systems-administration knowledge including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management.
- Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills.
- Ability to lead technically through expertise and influence without direct people-management authority. Nice-to-Have Skills - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers.
- Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability.
- Software development experience with Python, TypeScript, JavaScript, or similar languages.
- Experience creating MCP servers or integrating MCP-compatible clients and tools.
- Experience operating an enterprise AI platform or supporting an internal AI enablement program.
- Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies.

Additional Information Required

Tools & Platforms - Practical experience with several of the following or comparable enterprise products: Slack, Google Workspace, Gemini for Workspace, Glean, Claude, and ChatGPT.

- Hands-on experience with AI integration patterns involving MCP, function calling, APIs, SDKs, webhooks, enterprise search, data connectors, and identity services. Location, Time & Engagement - Remote contract engagement.
- Candidates must be located in the United States or LATAM, excluding Mexico.
- Central Time working-hour overlap is preferred.
- Full-time allocation of approximately 40 hours per week.
- Expected engagement through March 31, 2027.
- This is an individual contributor technical leadership role with no direct reports.

📌 AI Platform Technical Lead (Bogotá)
🏢 Upwork
📍 Bogotá