Accountabilities:

As an AI Automation Engineer V, you will lead the development and optimization of enterprise automation platforms while driving the adoption of AI-powered business processes across the organization.

• Design, build, and maintain scalable, secure, and resilient AI-powered automation solutions.
• Lead the implementation of enterprise workflow orchestration strategies using platforms such as n8n.
• Develop intelligent workflows, AI agents, and decision-making frameworks that enhance business operations.
• Architect API-first and event-driven integrations connecting enterprise systems, cloud services, and AI platforms.
• Establish engineering standards for automation development, deployment, monitoring, governance, and platform reliability.
• Define and maintain CI/CD pipelines, release processes, and environment strategies for automation initiatives.
• Create reusable frameworks, workflow templates, prompt libraries, and automation accelerators to improve efficiency and consistency.
• Implement observability, monitoring, alerting, and performance measurement for automation and AI-driven workflows.
• Conduct technical design reviews, workflow assessments, and post-incident analyses to continuously improve platform performance.
• Mentor engineers and implementation partners while promoting best practices in AI automation, workflow engineering, and responsible AI adoption.

Requirements:

The ideal candidate is a senior automation engineer with deep expertise in AI-driven workflow orchestration, enterprise integrations, and cloud-native architecture.

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture.
• Strong hands-on experience with n8n, Boomi, or similar enterprise automation platforms.
• Expertise in API-first and event-driven architectures, including REST APIs, webhooks, OAuth, JWT, and secure integration practices.
• Experience implementing CI/CD pipelines, automation governance, observability, and platform reliability at enterprise scale.
• Strong knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience integrating AI and machine learning services, including large language models, into enterprise workflows.
• Demonstrated ability to identify high-value automation opportunities, deliver AI-enabled solutions, and measure business impact.
• Strong leadership, mentoring, communication, and collaboration skills with the ability to influence technical direction across teams.
• Passion for continuous learning and adopting emerging AI technologies and engineering best practices.

Benefits:

• Fully remote position available across the United States.
• Competitive base salary based on geographic location, experience, and qualifications.
• Annual performance-based bonus eligibility.
• Comprehensive health benefits, including medical, life, and disability insurance (location dependent).
• Generous paid time off.
• Paid parental leave.
• Inclusive, collaborative workplace with strong diversity, equity, and inclusion initiatives.
• Access to employee resource groups and leadership-sponsored community programs.
• Opportunity to work on cutting-edge AI technologies and enterprise-scale automation initiatives.
• Long-term career growth within a rapidly evolving, AI-first environment.