AI Engineer / AI Architect
DNV Cyber is a leading cybersecurity services provider, formed by merging Nixu, Applied Risk and DNV in 2024. At DNV Cyber we take pride in safeguarding what’s critical to our customers and all of us as individuals – from personal data to industrial safety systems. We use our expertise and scale to tackle the most difficult cyber issues in multiple industries that are critical to society.
Role and responsibilities
We are seeking for candidates who can identify gaps in our internal processes and make them more efficient. You will learn how we operate and improve the team’s throughput by using AI tools. The entire service delivery process, from project scoping to project close‑out, will fall within the scope of your work.
You will also influence how we deliver our external services through the use of AI. You must stay up to date with the latest developments in cloud‑based and local models to understand their capabilities and how they can be applied to DNV Cyber’s offensive security services. You will need to build orchestration that links local models with general purpose frontier cloud models, creating hybrid solutions that combine the strengths of both approaches.
Prototyping, presenting in meetings, and working closely with cybersecurity experts will be a significant part of the role, so you should feel comfortable with these tasks.
#DNVCyber
At DNV Cyber, we are passionate about cybersecurity and take pride in the way we are impacting the society we live in. We encourage you to excel professionally through knowledge sharing and demanding cases. At DNV Cyber, you'll have 500 colleagues who share an interest in cyber security with you. With us, you will be surrounded by the most talented people in the cybersecurity field
Join us on an exciting adventure of growth, meaningful work, and shaping the future through cybersecurity!
Visit our website to get to know more about us!
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.Candidates should have the following experience:
- Coding experience: Capacity to build and understand code, especially Python and/or JavaScript.
- DevOps background: Knowledge on deployment practices and building CI/CD pipelines.
- Researcher background: Capacity to understand and consume AI research and academic papers.
- Knowledge of LangChain, or other frameworks for building agents and LLM-powered applications is a plus.
These skills are beneficial:
- Cybersecurity knowledge is a big advantage.
- Data scientist background is a benefit.
- Experience as a consultant is valuable as well.