Lead Data & AI Architect

Description

The company was founded in Switzerland in 1968, is owned by its partners, and has offices across Europe and Asia.

It is a global transformation partner with engineering and innovation at its core, helping clients run better today while preparing for future markets, customers and communities.

Its multidisciplinary teams work on tech strategy and business innovation, digital solutions and applications, and device and systems engineering.

The company has particular strength in regulated sectors such as health and finance, combining strategy, technology implementation and operational services.

Candidates who share the company's values and want to do excellent work for the right reasons get the chance to do it on a global scale and help shape its next stage of growth.

Responsibilities

• Design data and AI platforms that support everything from analytics to generative and agentic AI.
• Explain architecture decisions clearly so stakeholders understand them and share your vision.
• Apply your knowledge of modern data platforms, security and AI governance, together with a DevOps mindset, to build sustainable solutions that deliver value.
• Lead your team through high-impact projects, combining a concept-led approach with hands-on engineering.
• Take data integrations, analytical data products, machine learning and agentic systems into production, applying transparency, reproducibility and measurable quality.
• Design solutions for on-premises or cloud environments, choosing the platforms that fit the client's situation.
• Help shape the company's offerings, guide service development, support pre-sales, and track market trends.
• Support the growth of internal talent and teach clients what data and AI can do for them.
• Architecture and implementation: design complex architectures for data and AI projects, build them with your team, and bring your stakeholders along.
• Methodology and concepts: work confidently with data and AI platforms, data products, data mesh, data security and governance, and agile DevOps, DataOps and MLOps practices.
• Cloud: design scalable solutions on AWS, Azure and GCP, and work comfortably both in the cloud and on-premises.
• Data engineering: lead your team on flagship projects, building well-structured data pipelines and data models that are ready for AI.
• AI operationalisation: move ML and GenAI solutions from prototype to production, with a focus on evaluation, observability, traceability and reproducibility.
• Thought leadership and consulting: explain AI and data technologies, share knowledge inside and outside the company, and mentor junior colleagues.

Requirements

• Solid expertise in AI and data solutions, with a clear grasp of what they can and cannot do.
• A real commitment to sustainable software architecture for data and AI platforms, backed by experience taking responsibility in technical mandates.
• Confidence and self-motivation to own projects and to grow the company's data and AI capabilities.
• Excellent communication in German and English, both essential.
• Architectural decisions that account for availability, flexibility and security, as well as economic factors and their effect on code.
• A technical degree in computer science, mathematics or a comparable field.
• Proficiency in Python, Spark, Iceberg, Delta Lake, dbt and streaming with Kafka, plus the data and AI platform services of Databricks, Microsoft Fabric and Foundry, Amazon SageMaker or Snowflake.
• Familiarity with GenAI tooling such as vector stores and agent frameworks.
• Candidates who do not meet every requirement are still encouraged to apply and get in touch to discuss their goals and ideas.

Conditions

Flexible working hours and the option to work from home.

A safe and healthy workplace.

Equal opportunity applies to everyone regardless of background or personal characteristics.

Benefits

• A profit share on top of your annual salary, depending on the company's results in the previous year.
• Membership of a global, diverse community across 16 offices, with annual team camps and year-end and local celebrations.
• Investment in your development, helping you build skills for a positive impact on your work and on clients, now and later.