AI Developer, RPA & Testing

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What we offer:

Group Summary:

Magna is seeking a skilled and forward-thinking AI Developer, RPA & Testing to join our Intelligent Automation and Testing organization. This role will play a key part in designing and implementing AI-driven solutions that elevate automation, improve testing efficiency, and strengthen decision support across HR, Payroll, and Finance functions.
As part of the Intelligent Automation team, you will collaborate closely with test automation engineers, RPA developers, business analysts, and business stakeholders to build AI-enabled prototypes and production-ready solutions. You will leverage Azure AI Foundry, Copilot Studio, Databricks, and enterprise APIs to create scalable, secure, and maintainable AI components that transform how data, workflows, and quality processes operate across the organization.
This position is ideal for candidates who enjoy combining AI/ML, automation, and modern software engineering to deliver real-world business impact.

Key Responsibilities

• Design, develop, and maintain AI-powered solutions, prototypes, and POCs using Azure AI Foundry, Azure AI services, and Copilot Studio.
• Integrate AI capabilities into RPA workflows and test automation frameworks, supporting automation developers and QA engineers.
• Build data processing, orchestration, and integration logic using Python and/or C#, following clean coding and modular design principles.
• Work with Databricks, SQL, Microsoft Fabric and data pipelines to prepare, transform, and analyze datasets from HR, Payroll, and Finance systems.
• Connect AI components with enterprise applications using REST APIs, event-driven architectures, and secure integration patterns.
• Apply best practices in prompt engineering, model tuning, and evaluation to improve solution accuracy, safety, and relevance.
• Implement comprehensive logging, monitoring, observability, and testing (unit, integration, functional) across AI and automation flows.
• Ensure solutions adhere to internal standards for security, privacy, compliance, and data governance, particularly for sensitive HR/Payroll data.
• Participate in requirements gathering, technical design sessions, sprint planning, and review ceremonies, providing technical leadership and estimates.
• Document solution designs, architecture decisions, and operational/handover materials for support and maintenance teams.
• Stay current with emerging AI, automation, and testing capabilities across Azure AI, Copilot Studio, Databricks, and Power Platform.
• Contribute to building a library of reusable AI components, prompt templates, best practices, and internal accelerators.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or related field; or equivalent practical experience.
• 5–7 years of hands-on experience in software development, AI/ML engineering, data engineering, or intelligent automation.
• Practical experience building solutions with Azure-based AI services (Azure AI Foundry, Azure OpenAI, or similar).
• Experience using Copilot Studio, Power Platform, or similar chatbot/automation technologies to build AI copilots or automated workflows.
• Strong proficiency in Python and/or C#, including writing clean, maintainable, and testable code.
• Solid understanding of SQL and relational databases, with experience writing complex queries and optimizing data interactions.
• Experience integrating solutions using REST APIs (authentication, error handling, JSON processing).
• Understanding of RPA or test automation tools and concepts (e.g., UiPath, Power Automate, Selenium, Playwright, etc.).
• Strong analytical and problem-solving abilities, with a track record of turning business requirements into technical AI/automation solutions.
• Effective communication and collaboration skills, with experience working in cross-functional teams (HR, Payroll, Finance, IT).

Nice-to-Have / Preferred Skills

• Hands-on experience with Databricks/Microsoft Fabric for data engineering, ML, or analytics workloads.
• Experience building solutions using LLMs, advanced prompt engineering, or model evaluation methodologies.
• Understanding of DevOps practices, including CI/CD, deployment pipelines, and environment/configuration management.
• Knowledge of test automation best practices, test strategy, regression testing, or quality engineering methodologies.
• Exposure to enterprise systems such as Workday, SAP, Oracle HR/Finance, or similar platforms.
• Experience working in Agile/Scrum development environments.
• Professional certifications in Azure AI, Azure Data, Databricks, RPA tools, or AI/ML engineering.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.