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
12-Month Success Signals
Within the first 12 months, this role will have
Enabled AI-native automation capabilities, including production-grade AI agents integrated into core workflows
Improved automation reliability and reduced workflow failure rates and/or MTTR
Standardized automation patterns, including AI-enabled orchestration patterns, adopted across new transformation initiatives
Implemented measurable observability, including AI performance, business impact, and cost metrics
Delivered AI-driven automation use cases that reduce manual effort, improve decision-making, or shorten process cycle time across multiple functions
Raised execution standards across the automation team through mentorship, technical leadership, and AI capability development
Avalara is an AI-first Company AI Expectations
As an AI-first company, Avalara expects this role to embed AI into how automation and transformation work is designed and executed