AI Native Software Engineer

At JTI we celebrate differences, and everyone truly belongs. 46,000 people from all over the world are continuously building their unique success story with us. 83% of employees feel happy working at JTI. To make a difference with us, all you need to do is bring your human best. What will your story be? Apply now!   Learn more: jti.com Department: IT Microsoft Delivery Center Position:   AI Software Engineer Location:  Madrid, Spain                                                                 AI Native Software Engineer Purpose: The AI Native Software Engineer role is responsible for delivering high quality software solutions using AI-first engineering practices, leveraging GenAI and Agentic AI capabilities within the Microsoft technology stack to accelerate delivery and create measurable business value. This is an evolution of the Software Engineer role with expanded responsibilities and expectations, for engineers who demonstrate strong growth mindset, learning agility, and leadership in AI-first ways of working. The role contributes to advancing MDC’s engineering practices by applying AI across the software development lifecycle, while maintaining strong standards for quality, security, and reliability. Responsibilities : AI Native Software Engineering: Design, build, test, and maintain software solutions using AI first engineering practices, ensuring quality, security, and scalability GenAI & Agentic AI Enablement: Apply GenAI and Agentic AI capabilities to accelerate delivery, improve developer experience, and unlock new solution patterns that deliver measurable value Engineering Excellence & Continuous Improvement: Identify and implement improvements to engineering practices, tooling, and workflows through responsible and effective AI adoption Change Champion & Enablement: Act as an AI first engineering champion, supporting and mentoring other engineers and developers in adopting new ways of working Learning & Innovation: Continuously stay ahead of AI engineering trends, experiment responsibly, and translate learnings into practical, reusable practices for MDC teams Requirements : University degree in Computer Science, Engineering, or equivalent practical experience Solid professional experience in software engineering within enterprise or complex delivery environments Strong foundations in modern software development, cloud platforms (Azure preferred), and Agile / DevOps environments, using modern DevOps tools (AzDO and GitHub preferred) Practical experience with GitHub Copilot or similar AI assisted development tools (code generation, testing, analysis, automation) Knowledge of AI assisted software engineering trends (e.g. SDD with GitHub SpecKit), including an understanding of where these approaches are most effective and where they are not Curiosity, learning agility, and a growth mindset toward adopting new tools and ways of working Strong collaboration and…