AGGP- Graduate AI Engineer

Job Description:

AGGP
2027 Graduate AI Engineer

Start date:

September 2027

Are you a university graduate with the aspiration, enthusiasm, and talent to help us pioneer sustainable aerospace for a safe and united world? Every year, Airbus seeks bright minds from around the globe to fill critical roles that will shape our future. When you begin your career with us, we don't just offer a job; we accelerate your growth through the Airbus Global Graduate development journey.

This isn't a one-size-fits-all program; it's a personalized, two-year experience designed to cultivate your professional skills, enhance your business acumen, and hone your technical abilities. Crucially, we place a strong emphasis on developing your leadership potential from day one. You'll gain a unique perspective on the world of Airbus while contributing directly in a specific, impactful position. During the two years, we will take you on a soft-skill development journey, covering such areas as inclusive leadership, our Values, resilience, communication and emotional intelligence, with various in-person and virtual workshops.

Beyond your daily responsibilities and this comprehensive schedule of training, you'll join your global graduate community annually for an in-person dedicated development week. This is your chance to connect with your peers, learn directly from our seasoned leaders, and gain insights from the best in the industry. Throughout the programme, you will be developed into an established and valuable team member from day 1.

You'll sharpen your skills in an area strategically important to Airbus, gaining a deep understanding of our business - its opportunities, challenges, and needs. Most importantly, you'll have learned more about yourself and what makes you truly great. You will have demonstrated your capability and readiness to take on future leadership challenges within Airbus. Above all, you'll have the unparalleled opportunity to do your best work in an industry that is literally reshaping how we live in our world.

If you're ready to embark on this transformative journey and unlock your full potential,

• Supporting the unification of fragmented processes, methods, tools, and data across Airbus's Domains to help create a cohesive Digital Airframe team at the forefront of digitalization.
• Assisting in the integration of physical models with data-driven AI approaches, learning to utilize Machine Learning and Symbolic AI (e.g., Computer Vision, Surrogate Modeling, Hybrid Modeling).
• Learning to develop and implement custom full-stack software solutions using Python, AWS, or GCP in alignment with business requirements.
• Gaining a deep understanding of physical engineering principles (such as structures, systems, materials, or simulation) to effectively bridge data science with physical airframe engineering domains.
• Engaging in rotational placements, which may include time with traditional engineering disciplines (like structure design and Computer-Aided Engineering) or AI Governance teams to build a comprehensive, cross-functional skillset.
• Engaging in diverse rotational placements to build a cross-functional skillset, with potential assignments including the Wing Stress Design team , Research and Technology (RnT) & physical test environments setting to connect your digital AI work with physical design.

Your development journey will include a minimum of one rotational placement to support your growth into position.

At the end of the two year development programme you will have developed into the position of AGGP
2027 - Graduate AI Engineer

• A degree level or equivalent within Computer Science, Material, Mechanical, or Aerospace Engineering.
• Recently graduated or first professional experience in the field of Artificial Intelligence, Machine Learning, Data Science, or Physical Engineering.
• Proficient oral and written communication skills in our business language (English).
• Collaborates well within a team, focused on driving future innovation.
• The ability to be self-aware and a wish to be in the driving seat of your development.
• A strong interest and proficiency with programming (e.g.,…