About this role
We’re looking for an innovative and passionate AI Data Apps Lead to join our Data Engineering team and take ownership of our growing suite of AI‑powered data applications.
This is a unique opportunity to work at the cutting edge of AI-assisted development (“vibe coding”) as we continue expanding our portfolio of AI-built apps. You’ll shape the technical architecture, manage cloud deployment, lead projects and help bring non-AI-native teams up to speed on modern AI workflows.
If you’re passionate about AI, excited about building real applications, and interested in developing into a future engineering leader, this role was made for you.
Key Responsibilities
- Own and design the technical architecture, deployment, and lifecycle of our AI-built data applications
- Use AI-assisted development (“vibe coding”) to accelerate prototyping and delivery, champion AI-assisted development methodologies across the team
- Architect and manage cloud-based data infrastructure (Azure, Databricks, etc.)
- Oversee code management practices, CI/CD pipelines, and deployment strategies
- Ensure data platform scalability, reliability, and security
- Guide and upskill internal teams that are not yet familiar with AI tools
Your Profile
- 7+ years in data engineering, data platforms, or application development
- Experience with vibe coding and AI coding assistants (Copilot, Cursor, Windsurf, etc.), knowledge of LLMs, prompt engineering, and rapid AI prototyping
- Strong React development experience
- Familiarity with backend development and API integrations
- Experience being in a technical leadership or mentorship role
- Hands-on experience delivering applications from concept to production
- Portfolio of AI-built or AI-enhanced projects (including personal pet projects)
What We Offer
As one of the world’s leading hearing care providers headquartered in Switzerland, we’re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model.
We offer a wide range of opportunities for both your professional and personal development. Our data and analytics capabilities are central to delivering exceptional products and experiences to our customers worldwide.
- A hands-on role shaping the next generation of AI-powered applications
- Significant growth potential toward future leadership roles
- 30 days of annual leave, Urban Sports Club, public transpportation ticket, development budget and other perks
To Apply: Please submit your resume, and portfolio demonstrating AI-developed products or vibe coding projects. #LI-NB1
Other facts
About Sonova AG
Around 25% of the world’s population is living with hearing loss. At Sonova, we envision a world where everyone enjoys the delight of hearing and lives a life without limitations. From personal audio devices and wireless communication systems to audiological care services, hearing aids, and cochlear implants. Our product brands – Phonak, Unitron, Sennheiser (under license), and Advanced Bionics – create compelling new products to offer the optimal solution for an ever growing consumer base through our globally diversified sales and distribution channels, including our well established global audiological care business. With a presence in over 100 countries and more than 19,000 employees, we leverage our global infrastructure and local roots. We aim for an inclusive work environment and culture that fosters a good balance of family and work-life for everyone. Our workforce is made up of 110 nationalities across 4 generations.
In 2006, Sonova founded the non-profit Hear the World Foundation, which seeks to give children living with hearing loss access to audiological care in low- to middle-income countries.
What you'll do
- The AI Data Apps Lead will own and design the technical architecture and lifecycle of AI-built data applications while managing cloud deployment. They will also guide internal teams in modern AI workflows and champion AI-assisted development methodologies.
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