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.

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.

Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

AI Workflow Automation Engineer

Key skills