R&D Applied AI/ML Software Engineer & Engineering Generative AI

The Opportunity

We are looking for a software developer with expertise in developing and deploying Applied Artificial Intelligence and Machine Learning solutions as well as Generative AI solutions. You will join a skilled, enthusiastic, and innovative global team to create digital technologies to further enhance the delivery of HVDC solutions. In your work, you will combine theory with practice, creating and validating new technologies that can have a meaningful impact on the energy transition.

Our R&D engineers, developers, and scientists develop breakthrough technologies that change the way the world works, and how industries do business. We constantly push the limits of convention, while retaining our focus on delivering quality products and solutions to our customers.

At Hitachi Energy our purpose is advancing a sustainable energy future for all. We bring power to our homes, schools, hospitals, and factories. Join us and work with fantastic people, while learning and developing yourself on projects that have a real impact to our communities and society. Bring your passion, bring your energy, and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation

High-Voltage Direct Current (HVDC) is a key enabler for a carbon-neutral energy system. For over 70 years, Hitachi Energy has delivered numerous technical innovations and delivered many projects. Today and in the future, solutions like HVDC, play an essential role in integrating renewable energy, decarbonizing power systems, and enhancing grid resilience and flexibility.

Join us at Hitachi Energy HVDC Research and Development if you have a passion for research and wish to contribute to the development and delivery of technologies with real purpose. Through your research projects, you will have the opportunity to learn from and contribute to a global multidisciplinary team with a broad range of experiences, both in technology and business processes.

• Design, develop and maintain software solutions for training, deploying and managing the lifecycle of Machine Learning and Generative AI solutions.
• Propose and work on ideas and concepts of new approaches to solving optimization or control problems with business impact, turn them into prototypes and verify them.
• Identify, propose, develop and deliver AI copilots and workflows that support engineers in their daily work and bring measurable business value.
• Apply state-of-the-art software engineering practices across the full development lifecycle (configuration management, static analysis, unit testing, CI/CD).
• Where necessary, development and release of software to integrate specific AI/ML solution into products / tools / processes.
• Design data fabric / pipeline architectures to manage data for use in machine learning, artificial intelligence and automation applications.
• Collaborate with a global team of researchers and engineers, both within the Hitachi Energy HVDC Research and Development department, and with other teams across the Hitachi Energy organization to identify and solve real-world challenges.
• Share your knowledge and experience with other team members.

• Master's degree or equivalent industrial experience in Computer Science, Software Engineering, Electrical Engineering or any related field.
• Programming experience in C#, Python and related libraries and tech stacks.
• Software engineering expertise across the whole software development lifecycle like design, implementation, testing (unit/integration), code quality, CI/CD, release management.
• Ability to conduct all phases of a software project - conceptual work, design, prototyping and verification.
• Working with structured and unstructured databases (SQL, Postgres, TimescaleDB, NoSQL).
• Experience in architecting performant, scalable and extendable software solutions.
• Experience with Azure OpenAI and Azure AI Services to design and deploy AI solutions.
• Good knowledge of Generative AI, the underlying models and architectures and associated technologies.
• Hands-on experience applying Machine Learning / Data Science and Generative AI (copilots, prompt engineering) to solve practical problems.
• Knowledge of data privacy, IP handling, security for AI tools, and data.
• Willingness to take an interdisciplinary approach, working with experts from different domains, and integrating AI/ML approaches into processes.
• Experience demonstrating your ability to work in a team, your creativity, and your motivation for self-development.
• Excellent written and spoken communication in English.