Responsibilities:
- Configure, deploy, and maintain n8n environments (self-hosted or cloud-based)
- Design and implement automation workflows aligned with business processes
- Build integrations using APIs, webhooks, databases, SaaS platforms, and internal systems
- Incorporate Generative AI capabilities into workflows (e.g., LLM-based automation, AI agents, prompt-driven processes)
- Design AI-assisted decision flows, summarization, classification, and intelligent data processing pipelines
- Implement structured error handling, retries, logging, monitoring, and observability
- Optimize and refactor workflows for performance, scalability, and resilience
- Provide architectural guidance on automation and AI-enabled workflow patterns
- Collaborate with Product, Engineering, and Operations teams to gather requirements
- Troubleshoot, debug, and resolve workflow or integration issues
- Ensure secure data handling, privacy compliance, and responsible AI usage
- Maintain detailed technical documentation for workflows, AI usage patterns, and configurations
Training & Enablement Responsibilities
- Conduct structured training sessions for internal teams on n8n and AI-enabled workflows
- Create reusable training materials, implementation guides, and best-practice playbooks
- Provide knowledge transfer on workflow design, AI integration strategies, debugging, and governance
- Enable internal teams to independently build, monitor, and maintain automation workflows
- Support transition and handover phases to internal teams
Required Expertise:
- Proven hands-on experience building automation solutions using n8n
- Strong understanding of REST APIs, JSON, webhooks, and authentication methods (OAuth, API keys, JWT)
- Practical experience integrating Generative AI / LLM services into automation workflows
- Understanding of prompt engineering, AI workflow orchestration, and AI-assisted automation patterns
- Experience integrating SaaS platforms, internal systems, and databases
- JavaScript proficiency for Function / Code nodes
- Experience implementing conditional logic, branching workflows, and exception handling
- Ability to convert business processes into scalable automation and AI-driven solutions
- Strong analytical thinking, troubleshooting ability, and communication skills
- Experience conducting technical training or structured knowledge transfer
Preferred Qualifications:
- Experience with self-hosted n8n deployments (Docker, Linux, cloud environments)
- Familiarity with AI APIs and platforms (OpenAI, Azure OpenAI, Anthropic, Google AI, etc.)
- Familiarity with cloud platforms, especially on Azure. Experience on other cloud platforms is an added advantage.
- Experience with event-driven architectures, message queues, or scheduling systems
- Background in SaaS platforms, ERP systems, CRM systems, or workflow automation solutions
- Experience working in agile or product-led environments
- Familiarity with Git and version control workflows