AI Workflow Automation Engineer

Bitovi

AI Automation Engineer at Avalara designing scalable automation solutions using n8n. Collaborating across functions to integrate AI workflows and improve business processes.

Posted 7/7/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable automation solutions using n8n and Boomi, with a strong focus on artificial intelligence integration, workflow optimization, and governance. Proven ability to lead technical design sessions and mentor teams in automation best practices.

Highest-signal resume keywords

N8N Automation SolutionsBoomi Integration EngineeringArtificial Intelligence WorkflowsCloud Platforms (AWS, Azure, GCP)API-First Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise AutomationWorkflow EngineeringIntegration EngineeringPrompt EngineeringEvent-Driven ArchitectureApplication Programming Interface SecurityObservabilityAutomation MetricsContinuous IntegrationContinuous Delivery

Soft Skills

MentoringTechnical LeadershipCollaboration

Tools & Technologies

Amazon Web ServicesMicrosoft AzureGoogle Cloud PlatformArtificial Intelligence ServicesLarge Language Models

Certifications & Qualifications

Bachelor's Degree in Computer Science Engineering

Industry Keywords

Automation GovernanceSecurity ProtocolsReliability GuardrailsAnomaly DetectionHuman-in-the-Loop Controls

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.