AI Test Automation & Cloud Migration Engineer

AGFA HealthCare Corporation

Phoenix (AZ)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive salary

Benefits package

Career development

Global team

Job summary

Agfa HealthCare in North America is seeking a Software Development Engineer - AI Test Automation & Cloud Migration to build AI-enabled testing capabilities for migrating enterprise imaging customers to our AWS-based cloud platform. You will design a reusable AI-assisted test framework, automate functional, integration, and end-to-end tests, and validate data integrity during migrations.

Collaboration with Migration and Integration Engineering teams will reduce repetitive manual testing.

Qualifications

Bachelor's or master's degree in computer science or a related field, or equivalent professional experience.
Strong Java development skills; Python and/or JavaScript experience is valuable.
Experience building test automation frameworks using Playwright, JUnit, REST Assured, or equivalent.
Experience with Jenkins, Git, APIs, databases, and CI/CD.
Practical knowledge of LLMs, AI agents, tool calling, and AI‑assisted software engineering.
Exposure to GitHub Copilot, Claude Code, Model Context Protocol (MCP), or comparable AI technologies is an advantage.
Cloud experience, particularly AWS.
Experience with healthcare IT, migrations, DICOM, HL7, FHIR, Docker, or Kubernetes is a plus.

Responsibilities

Architect and develop a reusable AI‑enabled test automation framework.
Automate functional, integration, regression, and end‑to‑end testing of cloud migration tools and features.
Validate migration outcomes, including data integrity, completeness, reconciliation, and post‑migration behavior.
Build AI capabilities for test generation, execution, evidence analysis, and defect investigation.
Integrate automated testing into Git‑and Jenkins‑based CI/CD workflows.
Collaborate primarily with the Migration Engineering Team and, as a secondary focus, with the Integration Engineering Team to progressively reduce repetitive manual testing.