AI & Automation Enablement Engineer Madeira

Work Location Details

• Working in Madeira in a shared office space, remote in Portugal, or remote in a Portuguese time
  - friendly location

Job Summary

The AI & Automation Enablement Engineer will be responsible for designing, developing, and deploying intelligent automation solutions across Allia Health Group. Reporting to Senior/Principal AI Engineers and later to the Director of AI & Automation, this role focuses on enabling business teams with AI-driven process automation, workflow orchestration, and
- based solutions. The successful candidate will bridge technical execution with business enablement, ensuring scalable and impactful adoption of AI and automation technologies.

Key Responsibilities

• Develop and deploy automation solutions using Ui
  Path, N8N, and similar tools
• Build AI-enabled workflows leveraging Google Cloud’s Vertex AI and other modern AI platforms
• Partner with data and product teams to identify automation opportunities that improve efficiency and reduce operational overhead
• Integrate automation into business processes, ensuring reliability, maintainability, and security
• Collaborate with stakeholders to translate requirements into technical automation designs
• Implement monitoring, error handling, and reporting for automation systems
• Contribute to the standardization and best practices for AI & automation enablement across the organization

Required Qualifications

• Ideal Degree(s): BSc or MSc in Computer Science, Data Science, AI/ML, or a related field
• Experience: 2–4 years in AI/automation engineering roles
• Must-Have:
• Strong experience with automation platforms (Ui
  Path, N8N, or equivalent)
• Proficiency in Python or another scripting language for automation and integration tasks
• Familiarity with cloud services (Google Cloud preferred; AWS/Azure acceptable)
• Hands-on experience integrating APIs and building workflow orchestration solutions
• Understanding of data pipelines, ETL processes, and structured/unstructured data handling
• Basic knowledge of MLOps practices and deploying AI models into automation workflows
• Strong
  - solving skills and ability to collaborate with business stakeholders

Preferred Qualifications

• Preferred: Google Cloud; Looker; Vertex AI; Ui
  Path; N8N; CI/CD with Git
  Hub & Google Cloud; React; Postgre
  SQL; Docker; Kubernetes; and other
  - adjacent tools. Candidates with AWS experience are welcome but Google Cloud is preferred

Physical Requirements

• Working in Madeira in a shared office space, remote in Portugal, or remote in a Portuguese time
  - friendly location
• Flexibility to shift portions of the day to increase time zone overlap with US CST time zone

Equal Opportunity Employer Statement

Allia Health Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you have any questions or require accommodations during the application process, please contact hr@alliahealth. co.

What We Offer

• Opportunity to lead impactful operational projects in a growing company
• A dynamic and collaborative work environment