We are looking for an experienced AI Automation Expert who will design, build, and maintain advanced AI-driven workflows, internal agents, and process automations across the organization. The ideal candidate has hands-on experience with automation platforms such as n8n, Zapier, or Make, a strong technical understanding of modern AI models and APIs, and a proven record of translating business needs into scalable automated solutions.

This position plays a central role in our digital transformation efforts. You will partner with operations, support, engineering, and business leadership to streamline processes, reduce manual workload, and accelerate delivery through smart automation.

Responsibilities

AI and Automation Architecture

• Design and implement AI-powered automations, including conversational agents, workflow orchestrations, and custom business logic.
• Build and maintain automations using n8n, Flowgrammers, and similar workflow tools.
• Create structured agent architectures using LLMs, vector databases, and contextual memory.
• Develop and maintain reusable automation components and templates.

Process Design and Optimization

• Map and analyze existing processes together with relevant stakeholders.
• Identify opportunities for automation and propose clear technical solutions.
• Implement end-to-end workflows from data ingestion to final output and quality control.
• Ensure security, reliability, and compliance in all automated processes.

Systems Integration

• Connect internal systems such as CRM, ERP, customer support tools, databases, and cloud platforms to automation workflows.
• Integrate external APIs including OpenAI, Azure OpenAI, Google Cloud, or vendor-specific APIs.
• Build bridges between systems that were not originally designed to work together.

AI Agent Development

• Design and deploy specialized agents for operations, sales, customer support, and engineering teams.
• Implement context awareness, memory persistence, and custom tool calling for agents.
• Optimize agent performance, latency, and accuracy.

Monitoring and Maintenance

• Create dashboards and alerting for workflow health and performance.
• Troubleshoot failures, scalability issues, and data inconsistencies.
• Continuously improve existing automations based on usage and feedback.