AI Innovation Engineer NCE NOWOŚĆ

Opis stanowiska

The AI Innovation Program sits within Digital Development Platform and is responsible for accelerating AI adoption through practical, business-focused innovation. We partner closely with frontline teams and business stakeholders to rapidly design, build, and validate AI-enabled solutions that improve operational performance and simplify everyday work.

As an AI Innovation Engineer, you will combine technical problem-solving with business understanding to develop practical solutions that address real operational challenges. Working directly with users and AI Innovation Leads, you will help transform ideas into working solutions and generate measurable business value through AI, automation, analytics, and integrations.

Professionals who enjoy developing ideas, exploring possibilities, and working with stakeholders to deliver effective solutions will thrive in this role.

Responsibilities

As an AI Innovation Engineer, you will contribute to the impact of AI transformation initiatives by:

• Collaborating with frontline operators, subject matter experts, and business stakeholders to understand operational challenges and identify solution opportunities
• Designing, building, and testing AI-enabled, automation, and data-driven solutions using approved development tools and platforms
• Translating business requirements and target workflows into practical technical designs and scalable solution architectures
• Assessing technical feasibility, data readiness, implementation complexity, and solution risks to support informed decision-making
• Integrating business systems, data sources, and automation capabilities to create reliable and efficient workflows
• Supporting user testing, gathering structured feedback, and continuously improving solutions based on operational performance
• Documenting technical assets, reusable components, integrations, testing outcomes, and implementation learnings to support future scalability
• Communicating technical concepts, trade-offs, and implementation considerations effectively to both technical and non-technical stakeholders

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Technology, Engineering, or a related field
• Approximately 2-5 years of experience developing software, automation, analytics, data, or AI-enabled solutions
• Practical experience with APIs, integrations, data preparation, workflow automation, and modern development tools
• Practical experience with AI, automation, and data technologies, including their practical business applications and implementation considerations
• Experience collaborating with both business and technical stakeholders in cross-functional environments
• Familiarity with solution design, testing methodologies, and continuous improvement practices
• Advanced problem-solving skills and a structured approach to delivering results
• Fluent written and spoken communication skills in English

Competencies

• Applies a user-centric mindset to design practical solutions that deliver measurable business outcomes
• Demonstrates deep technical curiosity and continuously explores emerging AI, automation, and digital technologies
• Applies a structured problem-solving approach to address complex technical and operational challenges
• Effectively translates business needs into technical solutions and technical concepts into business language
• Collaborates effectively across disciplines, functions, and stakeholder groups
• Balances speed, quality, scalability, and business value when developing solutions
• Demonstrates ownership, accountability, and persistence when overcoming implementation challenges
• Balances shifting priorities and performs strongly in environments that encourage innovation

What We Offer

• Purpose. An opportunity to contribute to climate action and support future generations through AI-driven transformation and innovation.
• A visible role that helps shape how AI delivers value across Vestas by working directly with business leaders, frontline teams, and Digital Solutions. A highly visible role working directly with business leaders, frontline teams, and Digital Solutions to shape how AI creates value across Vestas.
• Growth. Opportunities to work on complex business challenges, engage with executive stakeholders, and support large-scale transformation efforts while deepening knowledge of AI-enabled business innovation.
• Collaboration. A trusted, diverse, and highly collaborative environment where learning, experimentation, and knowledge sharing are encouraged.
• Versatility. A healthy work-life balance with flexible working options and opportunities to work across multiple business domains.