Senior AI Engineer

We are looking for a Senior AI Engineer to join our AI Enablement team within the Business Growth function. Metso is moving from separate AI experiments toward coordinated enterprise delivery, and this role is key to making that shift real. You will help translate Metso’s enterprise AI strategy and operating model into secure, scalable and production-grade solutions that improve how Metso operates, supports employees, and serves customers. You will act as a senior technical anchor for practical AI delivery, reusable engineering patterns, and long-term internal capability building. You will report to the Head of AI Enablement. This role is based in Espoo or Tampere, Finland, with hybrid working options available.

What We Offer

The benefits, resources, and opportunities we offer to support a positive work experience and long-term growth are listed below:

• Competitive compensation.
• Wellbeing programs.
• Growth opportunities.
• Regular presence at the Espoo hub.
• Access to a supportive and inclusive environment.
• Competitive compensation and performance-based incentives.

What We Expect

The qualities, work ethics, and standards we expect to maintain a productive and respectful workplace are listed below:

• Strong technical foundation in software engineering, cloud architecture, applied AI, platform engineering, or enterprise solution architecture.
• A track record of shipping AI-enabled solutions into production — combining LLMs, RAG, embeddings, vector databases, agentic patterns, workflow orchestration, classical ML or conventional software and data pipelines.
• Experience with modern AI engineering practices such as evaluation, observability, prompt and version management, LLMOps/MLOps, cost and latency optimization, reliability monitoring, or continuous improvement of deployed AI systems.
• Hands-on cloud-native development and architecture experience; Azure is strongly preferred though AWS or GCP experience is also valuable. Experience with APIs, microservices, CI/CD, and enterprise integration is important.
• Systems and process thinking: uncover root causes, simplify complex problem spaces, and reason end to end across business processes, software architecture, data, AI agents, integrations, and user adoption.
• The credibility and judgement to act as a trusted internal AI architecture advisor: listen carefully, ask insightful follow-up questions, challenge solution ideas constructively, and translate between business goals and technical choices.

Responsibilities

This opportunity is for motivated, responsible individuals eager to learn and thrive in a team-oriented environment, who possess the qualities mentioned below:

• Design and deliver production-grade AI solutions and scalable reference architectures that move pilots to sustainable enterprise use.
• Act as the senior technical anchor in the AI Enablement team, translating Metso’s enterprise AI strategy into reusable patterns, mentoring engineers, and coordinating business, IT, security and data stakeholders.
• Translate enterprise AI priorities into scalable technical solutions, reusable accelerators, reference architectures, and delivery practices that distributed teams across Metso can adopt.
• Design scalable end-to-end AI solution architectures covering agents, applications, integrations, data flows, APIs, backend systems, security controls, and human-in-the-loop processes.
• Define how AI solutions are evaluated, monitored, and improved over time, including quality, safety, cost, latency, reliability, user adoption, and business impact.
• Facilitate solution design discussions across business, IT, architecture, security, and data stakeholders, while mentoring engineers and specialists and strengthening Metso’s internal AI engineering capability.

How to Apply?

If you are interested in joining the team and taking the next step in your professional journey, please follow the instructions below to submit your application.

Please provide your updated resume, relevant documents, and any other requested information. Applications will be reviewed carefully, and suitable candidates will be contacted for the next steps in the selection process.

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