Graduate 2027 - AI Engineer

Aimlroles; Oslo fylke; Hybrid; NOK 800,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work arrangements

Exposure to cutting-edge AI tech

Global collaboration

Job summary

DNV is seeking ambitious AI Engineers in Norway to accelerate AI-driven value for customers. You will work at the intersection of technology, business innovation, and product development with engineers, data scientists, and senior leaders to turn emerging AI capabilities into practical, measurable impact.

You will build prototypes, collaborate with business units, and translate challenges into scalable AI solutions, including digital twins for simulation and performance measurement.

Qualifications

• Master's or Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, Cybernetics, Robotics, Mathematics, Physics, or a related field.
• Alternatively, you can document relevant and equivalent experience in those fields.
• Experience developing software solutions using Python or comparable programming languages.
• Understanding of machine learning, generative AI, or modern data technologies.
• Strong problem-solving and analytical skills.
• Excellent communication skills in English.

Responsibilities

• Design and develop AI-powered applications and agentic solutions.
• Build prototypes and proofs of concept using modern AI platforms and large language models.
• Collaborate with business units to identify opportunities where AI can improve efficiency, decision-making, and customer value.
• Create digital twins used for simulation, modelling and measuring performance.
• Translate business challenges into technical solutions and experiments.
• Contribute to DNV’s AI operations, AI assurance practices, and scalable deployment approaches.
• Support innovation projects from ideation through pilot and implementation.
• Evaluate new AI technologies and help shape DNV's future AI capabilities.

Skills

Python

English communication

Problem solving

Ambiguity tolerance

Bridge business & tech

Education

Master's or Bachelor's degree in CS/Data Science/AI/Software Engineering/Cybernetics/Robotics/Mathematics/Physics

Equivalent documented experience

Tools

Agentic AI frameworks

Vector databases

Knowledge graphs

API development & integrations

MLOps & AI deployment

Data engineering & analytics

Job description

We are looking for ambitiousAI Engineersto help accelerate the use of AI to create value for DNV’s customers.

You will work at the intersection of technology, business innovation, and product development. Together with business experts, software engineers, data scientists, and senior leaders, you will turn emerging AI capabilities into practical solutions that deliver measurable impact.

We are looking for people who enjoy building prototypes, working directly with customers and users, experimenting with AI technologies, and transforming promising concepts into scalable business solutions.

As an AI Engineer, you will:

• Design and develop AI-powered applications and agentic solutions.
• Build prototypes and proofs of concept using modern AI platforms and large language models.
• Collaborate with business units to identify opportunities where AI can improve efficiency, decision-making, and customer value.
• Create digital twins that are used for simulation, modelling and measuring of performance.
• Translate business challenges into technical solutions and experiments.
• Contribute to DNV’s AI operations, AI assurance practices, and scalable deployment approaches.
• Support innovation projects from ideation through pilot and implementation.
• Evaluate new AI technologies and help shape DNV's future AI capabilities.

#graduate

What we offer:

• Working at the corporate level, you will get to work with products and solutions across the many industries DNV serve – from maritime and energy to cyber.
• A unique opportunity to work globally with leading industrial companies.
• Exposure to cutting-edge AI technologies and strategic initiatives.
• A strong industrial AI environment.
• Opportunities to influence the future of DNV's AI capabilities.
• Flexible and hybrid working arrangements.
• Competitive compensation and benefits.

DNV expects all candidates to be open and share all relevant information about themselves during the recruitment process. DNV AS is subject to Norwegian laws and regulations regarding Export Control. As part of our security assessment, candidates are asked about affiliations with high-risk countries. Furthermore, background checks are performed on all final candidates, and any offer is conditional upon successful background check verification.

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

Required qualifications:

• Master's or Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, Cybernetics, Robotics, Mathematics, Physics, or a related field.
• Alternatively, that you can document relevant and equivalent experience in those fields.
• Experience developing software solutions using Python or comparable programming languages.
• Understanding of machine learning, generative AI, or modern data technologies.
• Strong problem-solving and analytical skills.
• Excellent communication skills in English.

Preferred qualifications:

• Experience with one or more of:
• Agentic AI frameworks
• Vector databases and semantic search
• Knowledge graphs
• API development and integrations
• MLOps and AI deployment practices
• Data engineering and analytics

Who you are:

We believe successful candidates will be:

• Curious about emerging technologies and their business applications.
• Comfortable working in ambiguity and rapidly evolving environments.
• Entrepreneurial and proactive.
• Able to bridge business and technology.
• Passionate about creating real-world impact through AI.
• Skilled at collaborating across disciplines and organizational boundaries.