#132210 - AI Platform Technical Lead

Upwork; Bogotá ciudad; Presencial; COP 434.810.000 - 621.157.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote engagement

Descripción de la vacante

Upwork is seeking an hands-on AI Platform Technical Lead to serve as the technical owner for a general-purpose, AI-enabled enterprise collaboration ecosystem. You 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, mentoring, and serving as a senior escalation

Formación

• 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, MCP, 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 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.

Responsabilidades

• Design, build, test, deploy, and maintain production-quality AI agents, skills, prompts, tools, workflows, assistants, and automations.
• Build AI solutions using 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.

Conocimientos

AI agents

MCP

Function calling

APIs & webhooks

Identity access

Security & governance

Production readiness

Troubleshooting

Technical leadership

Herramientas

Slack

Google Workspace

Gemini for Workspace

Glean

Claude

ChatGPT

Descripción del empleo

Job Description

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.