Expert AI Lead Engineer

Do you want to build and lead Weibel’s AI transformation? Step into a role where your vision becomes the foundation for our long‑term AI strategy.

We are expanding our R&D organization with a key senior hire who will lay the foundation for our long-term AI strategy and drive the integration of advanced AI and machine-learning capabilities into our next generation of radar and sensing products.

As our Expert AI Lead Engineer, you will play a defining role in shaping our technical direction, architecture, processes, and team. You bring deep hands-on experience applying AI in embedded or physical products (not just software platforms) and the vision and leadership to build something from the ground up.

Set the direction for AI

You have deep experience from a similar role and possess deep technical knowledge based on years of development and implementation, are familiar with all the newest technologies within the AI space and know how and why deploy these to solve overall problems and create solutions.

Over the next two years, you will be instrumental in building and mentoring a small high-impact AI team of approx. 10 engineers, spanning data engineering, ML engineering, and applied AI for signal processing and UI optimization.

If you want the freedom to set a direction, influence a +230 engineer R&D organization, and create real technological impact, this is the place to do it.

Your responsibilities

In this role, you will drive Weibel’s AI agenda on both strategic and hands‑on levels. You will shape our long‑term AI direction, build core capabilities, and ensure successful integration of AI across our products and engineering teams. Below is what you will be responsible for:

Technical leadership and strategy

• Define the long-term AI roadmap for our products, including AI-driven signal processing, embedded ML, decision-support features, and model-assisted calibration algorithms.
• Identify and evaluate AI opportunities across hardware, firmware, application-level software/UX, and real-time signal processing.
• Drive the adoption of best‑in‑class AI development practices, tools, data pipelines, and model deployment architectures.

Hands-on applied AI

• Develop and prototype AI algorithms for sensor data, classification, tracking, and adaptive signal processing.
• Work closely with domain experts in radar, software, electronics and systems engineering to integrate AI into real product architectures.
• Establish data collection, synthesization and management.
• Guide experiments, data strategies, model validation, and performance optimization.

Building the AI capability

• Recruit and build a high‑impact AI/ML team of approx. 10 specialists over the next two years.
• Mentor engineers across R&D to develop AI competencies.
• Establish development frameworks, coding standards, ML Ops pipelines, and documentation practices.

Cross-functional influence

• Partner with Product Management to define AI-enabled features and translate them into engineering roadmaps.
• Work closely with Systems Engineering to ensure robust, safety-conscious design and integration.
• Act as Weibel’s internal AI ambassador - inspiring, educating and enabling colleagues across disciplines.

What we expect from you

We are looking for an experienced AI professional who combines deep technical expertise with the ability to build, lead, and influence. You excel in complex engineering environments, thrive in a hands‑on leadership role, and are motivated by creating real product impact. Below is what you bring to the role:

• 7+ years of applying AI/ML in real products — ideally within sensors, robotics, defence, automotive, industrial automation, or medical devices.
• Ability to translate complex data and models into functioning embedded, edge, or system‑level features.
• Experience designing AI solutions end‑to‑end: from data and training to deployment and monitoring.

Technical foundation

• Strong background in applied machine learning, including classification models, deep learning, time-series analysis, signal intelligence.
• Hands-on experience working with raw sensor data (e.g., radar, lidar, sonar, RF, imaging, acoustics).
• Experience with ML Ops, data engineering, and real-time or edge deployment is a strong advantage.
• Solid programming skills in Python, C/C++, and ML frameworks such as PyTorch or TensorFlow.

Leadership & mindset

• Natural ability to set direction, influence others, and create followership.
• Comfortable switching between strategic thinking and hands‑on execution.
• Strong builder mentality - building technology, building processes and building a team.
• Curious, collaborative, and motivated by solving real engineering and product challenges.

We Offer

You will join a Danish high‑tech market leader with a strong export focus and a solid position in our core markets - now expanding into new business areas.

If you thrive in a dynamic environment where you can shape how we work, this is your chance to define the future AI architecture behind advanced sensing products used in defense and aerospace. You’ll have the mandate and support to build an AI organization from the ground up, work alongside more than 230 engineers, and directly influence our R&D strategy.

All within a culture that values curiosity, innovation, and deep engineering excellence.

Contact and application

Ready to Build the Future of AI-Enabled Sensing? If you are excited by the opportunity to define and lead AI in a growing high-tech R&D organization, we would like to hear from you.

Please apply at our website using the ”Apply” button. The deadline is March 11th, 2026.

Please note that this position requires a criminal record with no remarks and the ability to obtain a security clearance.

We are looking forward to hearing from you.