AI Solution Engineer

Metso is an industry leader helping transform essential raw materials through sustainable technologies, solutions, and services. The AI Solution Engineer will build responsible, scalable AI-enabled solutions for validated business opportunities, collaborating with business, IT, data teams, and external partners to support Metso’s enterprise-wide AI transformation.

What you'll do:

• Build AI-enabled solutions for validated business opportunities, moving from problem definition to working solution with clear business value, adoption path, and measurable outcomes
• Work directly with business owners, central functions, IT, data teams, and external partners to translate business challenges into concrete AI solution designs and implementation plans
• Develop practical solution components such as data pipelines, integrations, prompts, workflows, user interfaces, APIs, and automation logic needed to make AI solutions usable in real business processes
• Design for scale from the start by creating reusable patterns, documentation, and components that can be adopted across teams, business areas, and future AI use cases
• Focus on sustainable, scalable solutions rather than one-off experiments, ensuring that prototypes have a clear route to operation, ownership, maintainability, and responsible AI use
• Contribute to Metso’s AI delivery model by capturing learnings, improving ways of working, and helping build a connected community of AI practitioners across the company

What they're looking for:

• • A degree completed, nearing completion, or equivalent practical learning in Computer Science, Data Science, Software Engineering, AI, or a related field. We warmly encourage applications from recent graduates and students close to graduation
• • Strong software engineering fundamentals gained through studies, thesis work, internships, trainee roles, GitHub projects, hackathons, open-source contributions, or personal projects
• • Experience with, coursework in, or genuine curiosity about modern AI, such as large language models, prompting, retrieval approaches, automation, and how cloud platforms support enterprise AI solutions
• • A builder's mindset: pragmatic, curious, outcome-focused, and motivated to learn by solving real problems with colleagues from business, functions, and technology teams
• • Eagerness to learn quickly, reason about trade-offs, and take initiative to move things forward
• • Strong ability to communicate with diverse internal and external stakeholders
• • Exposure to cloud-native development, APIs, Git, or rapid-prototyping frameworks. Our technology stack will evolve, so we value learning ability over experience with specific tools
• • You do not need to know every tool or have years of industry experience. We value learning agility, ownership, collaboration, and the ambition to grow into an AI professional who can make a real difference

Benefits:

• Purpose-led work: Contribute to enabling sustainable modern life and transforming the industry.
• Wellbeing programs, occupational healthcare, and supportive services.
• Performance-based incentives.
• Hybrid working options to support balance and productivity.
• Learning pathways, mentoring, internal mobility, and global collaboration opportunities.
• A caring, collaborative, and inclusive workplace committed to helping you thrive.