Hybrid Global AI Engineering Leader & Transformation

Metso

Espoo

Hybrid

EUR 150,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Purpose-led work
Wellbeing
Rewards
Flexibility
Growth
Culture

Job summary

Metso is seeking a Head of AI Engineering in Espoo to lead a globally distributed AI engineering team within the AI Transformation Office. You will drive engineering excellence, mentor junior and senior engineers, and ensure delivery of AI solutions across enterprise initiatives.

With a cloud-first stack and strong collaboration with Data & Analytics and IT, you will shape responsible AI practices while prioritizing speed, quality and governance. Hybrid work options supported.

Qualifications

  • Proven people-first technical leadership.
  • Experience recruiting and developing technical talent.
  • Background in delivering production software.
  • Practical understanding of AI-centric software development.
  • Experience establishing engineering practices balancing speed with quality.
  • Experience with forward-deployed or business-embedded engineering.

Responsibilities

  • Build and lead a globally distributed AI engineering team.
  • Develop engineers and technical leads through mentoring and assignments.
  • Establish a forward-deployed engineering model close to business owners and users.
  • Own delivery of AI solutions across enterprise transformation initiatives.
  • Advance AI-centric responsible software development practices.
  • Set high standards for code quality, testing and security.

Skills

People-first leadership
Recruitment & mentoring
Production software delivery
AI-centric software development
Engineering practices
Global collaboration
Cross-functional collaboration

Education

Degree in engineering/CS/AI

Job description

Metso is seeking a Head of AI Engineering in Espoo to lead a globally distributed AI engineering team within the AI Transformation Office. You will drive engineering excellence, mentor junior and senior engineers, and ensure delivery of AI solutions across enterprise initiatives.

With a cloud-first stack and strong collaboration with Data & Analytics and IT, you will shape responsible AI practices while prioritizing speed, quality and governance. Hybrid work options supported.

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