Note: The job is a remote job and is open to candidates in USA. Avalara is a leading company in AI-driven solutions, seeking an AI Automation Engineer to enhance their automation processes. The role involves designing scalable AI automation solutions and collaborating with various teams to integrate intelligent workflows into business operations.
Responsibilities
- Own and help execute Avalara's enterprise AI automation and transformation strategy, with n8n serving as a core workflow orchestration platform
- Design and build scalable, secure, and resilient automation solutions that reduce manual work and improve business process efficiency
- Develop AI-enabled workflows, intelligent agents, and decisioning frameworks that support business transformation across multiple functions
- Architect API-first and event-driven integrations that connect enterprise systems, automation platforms, and AI services
- Establish platform standards for development, deployment, monitoring, reliability, and governance across automation initiatives
- Define and maintain CI/CD processes, environment strategies, and release practices that improve automation quality and delivery speed
- Create reusable automation frameworks, workflow templates, prompt patterns, and AI agent accelerators that increase consistency and reuse
- Implement observability, monitoring, alerting, and performance measurement practices for both traditional and AI-driven workflows
- Lead technical design reviews, workflow assessments, and post-incident reviews to improve platform reliability and operational excellence
- Mentor engineers and implementation partners while promoting best practices for AI automation, agent orchestration, responsible AI, and workflow engineering
Skills
- Bachelor's degree in computer science, Engineering, or a related field and 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture
- Deep hands-on experience with n8n or Boomi, including designing and operating enterprise automation solutions and AI-enabled workflows
- Strong expertise in API-first and event-driven architectures, REST APIs, webhooks, OAuth, JWT, and secure integration practices
- Experience implementing CI/CD, automation governance, observability, and reliability practices across enterprise-scale platforms
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform, including AI and machine learning services and large language model integrations
- Demonstrated ability to identify high-value AI automation opportunities, build AI-enabled solutions responsibly, measure business impact, influence technical direction, and raise engineering standards through mentorship and leadership
Benefits
- Paid time off
- Paid parental leave
- Bonuses
- Private medical, life, and disability insurance
- Employee-run resource groups, each with senior leadership and exec sponsorship
Company Overview
Company H1B Sponsorship