Enterprise AI Workflow Expert

Skills

About this role

Enterprise AI Workflow Expert to contribute to an innovative enterprise project, focusing on maximizing business productivity through advanced AI-driven solutions. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

AI Agents, Agentic Workflows, AI Automation, Workflow Integration, AI Enablement

Responsibilities

• Apply professional experience in to evaluate and enhance AI model capabilities within real-world scenarios.
• Design, execute, and iterate agentic workflows that simulate critical professional processes, providing actionable insights for continuous model improvement.
• Pinpoint and analyze reasoning gaps, workflow limitations, and tool-use challenges in AI agent outputs, translating findings into detailed, constructive feedback.
• Develop comprehensive examples, test cases, and operational playbooks derived from your domain expertise and day-to-day professional activities.
• Partner with research and product stakeholders to communicate nuanced domain feedback and influence AI model development.
• Document workflow outcomes and contribute to best-practice libraries for AI agent adoption and enablement.

Qualifications

• Extensive professional experience in Sales, Growth Product Management, Project Management, Finance, or a similar domain as long as AI agents are a regular part of your workflows.
• Proven ability to connect data sources, configure permission/authentication, and integrate AI agents with productivity tools and business systems.
• Hands-on experience as a workflow builder, not just an end user—demonstrated by designing, implementing, and operating multi-tool agentic workflows (e.g., with Gmail, Drive, Slack, Jira, MCP connectors, APIs, or platforms like Zapier, Make, n8n).
• Strong analytical skills for identifying AI model performance gaps and proposing creative solutions grounded in domain needs.
• Ability to articulate complex process requirements and improvement strategies to technical and non-technical audiences alike.
• Enthusiasm for advancing AI adoption and enablement within dynamic business environments.