Generative AI Solutions Engineer

Contract type: Temporary contract (14 months)

We are currently looking for a Generative AI Solutions Engineer to join our Operations and Customer Experience (CX) team.

Data and AI are increasingly central to Sonova's ability to deliver better outcomes for customers and to improve operational efficiency. This role designs, delivers, and scales data and generative AI solutions that unlock real-time customer insights, streamline internal data access, and accelerate compliant knowledge and content creation across Operations and Customer Experience (CX).

Building on Sonova's global strategy, the Generative AI Solutions Engineer within CX in Operations collaborates closely with global data and digital teams, IT, R&D, and Legal/Compliance to develop robust data products and AI-enabled applications that are secure, reliable, and aligned with business priorities.

More about the role :

• Develop and maintain LLM-powered GenAI applications including RAG, enterprise search and agentic workflows with tool use and orchestration
• Design and implement AI-augmented development workflows using agentic coding tools and LLM-based code generation; establish best practices for reviewing and validating AI-generated output
• Build and manage AI-first data pipelines on Azure and Databricks, including unstructured data processing, embedding and vector indexing
• Continuously evaluate and optimize AI solutions across accuracy, groundedness and latency; convert user feedback into improvement cycles
• Collaborate with stakeholders to translate business needs into scalable AI and analytics solutions
• Ensure compliance with data privacy, security and responsible AI standards
• Drive adoption through enablement, documentation and standardization across CX and the CoE

More about you :

• 3+ years in data science or a related field with hands-on experience deploying GenAI solutions in enterprise environments
• Practical experience with Azure (incl. Azure AI Foundry), Databricks and PySpark
• Strong knowledge of LLMs, RAG architectures, embeddings, vector databases and prompt engineering
• Proficiency in Python and experience with structured and unstructured data
• Proficiency with agentic coding tools such as GitHub Copilot or Claude Code
• Experience with Git, CI/CD and modern software development practices
• Strong communication skills; able to translate complex technical concepts into business value
• Fluent in English

More about 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 training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.