AI Workflow Automation Engineer
PLEASE NOTE: Bitovi has been engaged by Avalara to lead initial and technical interviews for this role. While Bitovi will conduct the early rounds, the final interview and hiring decision will be made by Avalara directly.
What You'll Do
Avalara is looking for an AI Automation Engineer to help build an enterprise-grade automation ecosystem that improves how work is automated, orchestrated, governed, and scaled across the company. In this high-impact individual contributor role, you will use n8n as a core platform to design secure, reliable, and measurable automation solutions that reduce manual work, improve process quality, and support faster business transformation. You will work across functions to embed artificial intelligence-enabled workflows, intelligent decisioning, reusable automation patterns, and observability into enterprise processes. You will help Avalara raise its automation standards by building practical solutions, mentoring others, and improving how teams use artificial intelligence to increase productivity, quality, and operational scale. You will report to Sr Director, IT Support
What Your Responsibilities Will Be
- Engineer scalable, secure, and resilient automation solutions using n8n and related integration platforms.
- Design hybrid automation patterns using n8n, Boomi, application programming interfaces, event-driven systems, and artificial intelligence agents.
- Build artificial intelligence-enabled workflows that support intelligent decisioning, human-in-the-loop controls, prompt management, and model integrations.
- Define development standards, reusable templates, exception handling, retry strategies, approval patterns, and security protocols for enterprise automation.
- Implement environment strategies, continuous integration and continuous delivery pipelines, versioning, and governance models for automation workflows.
- Establish logging, monitoring, reliability guardrails, anomaly detection, and alerting to improve uptime, workflow trust, and recovery time.
- Define responsible artificial intelligence governance for model selection, cost controls, prompt and version management, data privacy, and auditability.
- Lead technical design sessions, workflow reviews, architecture reviews, and post-incident reviews.
- Mentor engineers, contractors, and implementation teams on automation design, artificial intelligence agents, prompt engineering, and responsible automation practices.
- Use metrics such as adoption, cycle-time reduction, service levels, recovery time, cost per workflow, and business impact to guide improvement.
What You'll Need to be Successful
- Bachelor's degree in Computer Science Engineering
- 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture.
- Deep hands-on experience with n8n or Boomi, including building cross-functional automations, artificial intelligence-enabled workflows, agents, and orchestration patterns.
- Experience designing application programming interface-first and event-driven architectures, including REST, webhooks, OAuth, JSON Web Tokens, application programming interface security, and secure integration of artificial intelligence services.
- Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including artificial intelligence or machine learning services such as Amazon Bedrock or Azure OpenAI.
- Applied experience using large language models, prompt engineering, artificial intelligence agents, observability, monitoring, and automation metrics to improve productivity, reliability, quality, scale, cost, or cycle time.
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.
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You’ll bring experience using AI and AI-related technologies, ready to thrive here.
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You’ll apply AI every day to business challenges - improvin