AI & Automation Enablement Engineer

Allia Health Group

Portugal

Híbrido

EUR 50 000 - 70 000

Tempo integral

14 dias+

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Resumo da oferta

A leading health technology company in Portugal is seeking an AI & Automation Enablement Engineer. This role will design and develop intelligent automation solutions while collaborating with business teams. Candidates should have 2-4 years of experience and a degree in a relevant field. This position offers remote work options and aims to improve automation across the organization.

Qualificações

  • 2–4 years in AI/automation engineering roles.
  • Strong integration of APIs and workflow orchestration.
  • Basic knowledge of MLOps practices.

Responsabilidades

  • Develop and deploy automation solutions using UiPath and N8N.
  • Build AI workflows leveraging Google Cloud’s Vertex AI.
  • Integrate automation into business processes securely.

Conhecimentos

Automation platforms (UiPath, N8N)
Python or another scripting language
Cloud services knowledge
Data pipeline and ETL processes
Problem-solving skills

Formação académica

BSc or MSc in Computer Science, Data Science, AI/ML

Ferramentas

Google Cloud
Looker
PostgreSQL
Docker
Kubernetes

Descrição da oferta de emprego

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At Allia Health Group, the umbrella organization for Southend Pharmacy, Brello Health, and Woven, we don’t just follow industry trends—we redefine them. Our mission is to commoditize anti‑aging solutions, making them affordable and accessible to the average consumer—not just the wealthy. By offering customized and cost‑effective wellness products that follow cost‑containment models, we aim to improve people’s quality of life and meet them wherever they are on their health journey.

Working in Madeira in a shared office space, remote in Portugal, or remote in a Portuguese time zone‑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 agent‑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 UiPath, 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 (UiPath, 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 problem‑solving skills and ability to collaborate with business stakeholders
Preferred Qualifications
  • Preferred: Google Cloud; Looker; Vertex AI; UiPath; N8N; CI/CD with GitHub & Google Cloud; React; PostgreSQL; Docker; Kubernetes; and other role‑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 zone‑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 recruiting@alliahealth.co.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Retail Pharmacies and Pharmaceutical Manufacturing

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