Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
10+ years of experience in enterprise, solution, or platform architecture, including architecture standards, reference patterns, and governance frameworks
Platform architecture experience across integrations, data, cloud infrastructure, APIs, identity, and security
Hands-on experience building and prototyping with modern AI/LLM tools, APIs, and agent frameworks
Experience with enterprise architecture frameworks such as TOGAF or equivalent
Experience with AWS, Azure, or GCP and associated AI/ML services
Experience guiding teams and executive decision-making
Experience with AI enablement programs, workshops, or communities of practice
Experience architecting automation, integration, or orchestration platforms such as n8n, Boomi, MuleSoft, or Workato
Public writing, speaking, or open-source contributions related to applied AI
Pay Range Details
Colorado $153,300-$203,100 (annually)
Washington $153,300-$279,600 (annually)
California $153,300-$306,300 (annually)
NYC $185,500-$306,300 (annually)
Avalara is an AI-first Company
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability
You’ll bring experience using AI and AI-related technologies, ready to thrive here
You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers
You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too