Automation Engineer V

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Own enterprise AI automation and transformation initiatives, using n8n as a core orchestration platform to develop scalable, secure, and resilient workflow solutions.
• Architect hybrid automation patterns that combine n8n or Boomi, APIs, event-driven systems, AI agents, and intelligent decision engines to improve reuse and accelerate process transformation.
• Define patterns for integrating LLMs, AI agents, model services, and AI-driven decisioning into enterprise business processes.
• Serve as the technical owner for n8n and AI workflow automation initiatives, establishing environment strategies, CI/CD pipelines, deployment practices, and governance models.
• Implement workflow standards, logging, monitoring, reliability guardrails, fault-tolerance practices, and high-availability patterns for deterministic and AI-driven workflows.
• Establish enterprise automation standards covering exception handling, retry strategies, naming conventions, security protocols, approval processes, code reviews, quality gates, and AI workflow validation.
• Develop reusable templates, accelerators, AI agent patterns, and prompt frameworks to improve engineering consistency and speed.
• Define responsible AI governance covering model selection, cost controls, prompt and version management, data privacy, security, auditability, and operational risk.
• Use observability, anomaly detection, intelligent alerting, and performance metrics to proactively identify failures, drift, degraded performance, AI latency, cost, and accuracy issues.
• Operate as a player-coach by mentoring engineers, guiding contractors and external implementation teams, and leading technical design, workflow review, and post-incident sessions.
• Promote best practices in prompt engineering, agent orchestration, human-in-the-loop workflows, and responsible AI automation across the organization.
• Identify and deliver high-value AI automation opportunities that reduce manual effort, improve decision-making, increase reliability, enhance employee or customer experience, and shorten process cycle times.
• Establish measurable success indicators such as automation adoption, cycle-time reduction, SLAs, SLOs, MTTR, workflow costs, AI performance, and business impact.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in enterprise automation, workflow engineering, integration engineering, platform architecture, or a closely related discipline.
• Deep hands-on expertise with n8n or Boomi, including experience building and orchestrating AI-enabled workflows, agents, and cross-functional business automations.
• Proven experience designing API-first and event-driven architectures and integrating AI/ML services and agent-based systems.
• Strong knowledge of REST APIs, webhooks, OAuth, JWT, API security, and secure integration of AI services and model endpoints.
• Experience implementing CI/CD for automation or integration platforms, including deployment, versioning, and release strategies for AI workflows, prompts, and models.
• Experience with AWS, Azure, or GCP, including AI/ML services such as Amazon Bedrock or Azure OpenAI and scalable model integration patterns.
• Practical understanding of LLMs, prompt engineering, AI agents, and orchestration frameworks, particularly their application to enterprise automation.
• Experience with observability and monitoring, including AI-specific metrics such as latency, cost, accuracy, reliability, and model or workflow drift.
• Demonstrated ability to influence architecture and technical direction across teams and drive adoption of AI-powered automation and intelligent orchestration patterns.
• Strong technical leadership, communication, mentoring, and stakeholder management skills.
• Ability to simplify complex business and technical processes into scalable, governed, and maintainable automation solutions.
• Demonstrated ability to use AI meaningfully to improve development productivity, workflow diagnostics, process analysis, root-cause investigation, and operational outcomes.
• Strong ownership mindset with a focus on quality, reliability, accountability, measurable results, and continuous improvement.

Benefits

• Competitive base salary depending on location and qualifications:
  • Colorado: $126,000–$201,600
  • Washington: $126,000–$222,800
  • California: $126,000–$244,000
  • New York City: $139,200–$244,000
  • Eligibility for an annual bonus based on individual and company performance, subject to the applicable plan.
  • Paid time off and paid parental leave.
  • Health and wellness benefits that generally include medical, life, and disability insurance, with eligibility varying by location.
  • Opportunity to work in an AI-first environment where AI is embedded into workflows, decision-making, and products.
  • Strong focus on learning, experimentation, and staying current with emerging AI technologies and best practices.
  • Inclusive workplace culture with employee-led resource groups supported by senior and executive leadership.
  • Opportunity to influence enterprise-wide automation strategy and work on high-impact AI transformation initiatives.
  • Professional growth through technical leadership, mentoring, architecture ownership, and cross-functional collaboration.