Meet Ritesh

How has your career evolved since you joined Airbus?

Since joining Airbus in 2019 as a Software Engineer, my career has grown alongside our digital transformation. I started by leading cloud-native architecture for IoT solutions. Over the years, as technology evolved, my work naturally shifted into modern Artificial Intelligence. I went from building everyday software components to designing the core AI tools and platforms that teams across the wider company now rely on.

How does AI contribute to Airbus’ mission or the success of its products?

AI accelerates operational efficiency, optimizes model training times, and powers intelligent workflows across our engineering, data science, and product lines. By architecting multi-tenant AI platforms, we enable secure, high-performance and cost-effective AI capabilities across Airbus. By giving our teams secure, ready-to-use AI tools, we help engineers spend less time on repetitive digital tasks and more time focusing on what really matters.

Is there a specific project or moment you’re particularly proud of? Why?

Architecting our company GenAI solutions and seamlessly integrating key internal services stands out. It made everyday tasks - such as finding answers inside huge technical documents or writing starter code - much faster and simpler for our teams.

Where do you see AI taking the future of aerospace over the next 5 to 10 years? 

Over the next decade, AI will become deeply embedded across every phase of aerospace from predictive maintenance and autonomous operations to AI-assisted engineering and cloud-native manufacturing, dramatically reducing time-to-market and elevating system reliability.

What do you appreciate most about Airbus as a workplace?

What I love most is the sheer scale of what we do and the people you get to do it with. Working alongside talented engineers and data scientists to tackle complex challenges while mentoring emerging talent makes Airbus a truly inspiring workplace.

What advice would you give to someone considering a career in AI?

• Focus on building strong foundational architectures, master end-to-end data pipelines, and stay adaptable as AI rapidly evolves. 
• Delivering genuine impact requires pairing technical rigour in cloud and ML platform engineering with continuous learning. Technology changes fast, so the most important skill you can build is the habit of continuous learning and being ready to adapt as things evolve. 

Do you have a favourite quote or mantra that inspires you in your work?

Innovation is not just about adopting new technology, but about building systems that scale, empower people, and create lasting value.