Machine Learning Engineer V

About the role

Avalara is accelerating an AI-first transformation in which agentic systems will change how customers, partners, and employees complete tax compliance work. This role exists now to help build and scale the Avalara Avi Agent (AAA), the agentic engineering foundation required for Aviator and future agentic capabilities across Avalara. The person in this role will turn emerging AI patterns into secure, reliable, production-grade systems that increase automation, improve customer outcomes, and enable Avalara teams to build agentic solutions faster and with higher quality.

As an Agentic and Machine Learning Engineer V, you will raise Avalara's ability to deliver AI-powered products at enterprise scale. Your work will help establish reusable platform capabilities, implementation patterns, evaluation practices, and operational standards for agentic applications. By improving the reliability, accuracy, security, and scalability of these systems, you will enable faster delivery of Aviator and other agentic efforts while reducing duplicated engineering effort across teams. The impact of this role will be visible in stronger customer experiences, more efficient compliance workflows, and a higher bar for AI engineering across Avalara.

Avalara defines the relationship between tax and tech, having built an industry-leading cloud compliance platform processing over 54 billion customer API calls and over 6.6 million tax returns a year. The company is a billion‑dollar business committed to being part of every transaction in the world, with a bright, innovative, disruptive culture symbolized by its signature orange.

AI is embedded in Avalara’s workflows, decision‑making, and products; success requires embracing AI as an essential capability, applying it daily to improve efficiency, contribute solutions, and drive results, and growing with AI by staying curious and sharing learnings.

Responsibilities

• Design, build, and operate foundational agentic platform capabilities that enable Aviator, AAA, and other Avalara agentic experiences to move from prototype to production.
• Develop scalable LLM application frameworks, orchestration patterns, tool integrations, and agent workflows that support enterprise-grade reliability, observability, security, and maintain