Healthcare AI Engineer – Solution Evaluation & Incubation

About the Role:
My client, a leading international healthcare group, is driving a major AI transformation across its operations in the UAE, UK, Greece, and the US. Their newly established Central AI Office is focused on rapidly identifying, evaluating, and integrating cutting-edge AI solutions to transform healthcare delivery.

As a Healthcare AI Engineer within the Solution Evaluation & Incubation team, you’ll be the technical lead enabling proof-of-concept (POC) evaluations of third-party AI solutions. You’ll design and maintain the infrastructure, data pipelines, and integration points that power these evaluations – helping assess scalability and fit within the broader enterprise AI architecture.

Key Responsibilities:

• Set up and manage secure, scalable cloud or on-prem environments for AI solution evaluations.
• Build and maintain data pipelines to prepare and deliver evaluation datasets.
• Integrate vendor AI platforms and APIs; troubleshoot deployment and data compatibility issues.
• Automate repetitive evaluation workflows for faster POC execution.
• Assess vendor solution architectures for long-term integration and MLOps alignment.
• Document setups, data flows, and key findings; collaborate closely with Product, Data Science, and IT teams.

Qualifications:

Essential:

• Bachelor’s in Computer Science, Software/Data Engineering, or related field.
• 3+ years of experience in software engineering, data engineering, or MLOps.
• Proficiency in Python, Java, or Scala.
• Hands-on experience with AWS, Azure, or GCP.
• Familiarity with data pipeline tools (Airflow, Spark, Kafka) and containerization (Docker, Kubernetes).
• Strong API integration and troubleshooting skills.

Preferred:

• Experience in MLOps or AI engineering for model deployment and monitoring.
• Knowledge of healthcare data systems (EHRs, FHIR, PACS, etc.).
• Experience with CI/CD and infrastructure-as-code (Terraform, CloudFormation).
• Understanding of data governance and privacy in regulated environments.

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