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Enterprise AI Automation Engineer
Skills
Computer ScienceAdoptionAmazon Web ServicesBedrockBusiness IntelligenceOptimizationPresentations
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience in enterprise automation systems integration or AI-powered software solutions
- Bachelor's Degree in Computer Science Information Systems Engineering or related technical field or equivalent practical experience
- Experience building enterprise automation solutions using n8n or similar orchestration platforms
- Strong understanding of APIs JSON webhooks authentication and modern systems integration
- Experience working with foundation models such as Claude OpenAI Gemini or AWS Bedrock
- Strong code literacy to evaluate troubleshoot debug and improve AI-generated Python JavaScript JSON and regex
- Experience delivering production-ready technical solutions for business stakeholders
- Experience implementing Human-in-the-Loop approval patterns
- Demonstrated ability to balance speed quality security and maintainability
- Excellent written and verbal communication skills
Nice to have
- Collaborative
- Inclusive
- Curious
- Low ego
- Detail-oriented
Day to day
- Design, build, test, and deploy secure enterprise AI workflows using n8n and modern AI platforms.
- Transform approved automation opportunities into production-ready solutions that improve productivity across business functions.
- Build API, webhook, and event-driven integrations while continuously optimizing reliability, scalability, and business impact.