Technical Lead, Data & AI, CH

The Technical Lead is a central, deeply hands‑on role  will write code, build solutions, and directly drive the delivery of enterprise‑grade data and AI systems—while providing the technical direction and mentorship that helps the team around you excel.

This is not a primarily hands‑off, high‑level management position: you are expected to be in the codebase every day, solving hard problems, unblocking teammates, and setting the bar for engineering quality. You bring strong hands‑on engineering skills across data and AI, combined with the breadth to make sound technical decisions, navigate complex system landscapes, and ensure everything delivered is secure, performant, and compliant.

• Extensive and demonstrable experience in ML & data engineering & AI solution architectures.
• Strong hands‑on engineering skills—comfortable coding in Python, SQL, or similar languages and working with modern data/AI tool chains.
• Experience with AWS, Azure, or GCP data/AI services; multi‑cloud familiarity is a strong plus.
• Knowledge of data governance, responsible AI, security frameworks, and operational controls, ideally coupled with experience in highly regulated industries with strict requirements for security, privacy, compliance, and data governance.
• Excellent stakeholder management and communication skills, able to influence both executives and engineering teams.
• Ability to convert complex challenges into clear architectural decisions and actionable delivery plans.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics or a related field.

• Contribute directly to solution development, validating technical approaches when needed.
• Support teams during complex engineering tasks, unblock challenges, and ensure the final solution aligns with the architecture.
• Hands‑on delivery is the primary mode—you lead from the front, writing code and solving problems directly alongside the team.

• Contribute directly to solution development, validating technical approaches when needed.
• Support teams during complex engineering tasks, unblock challenges, and ensure the final solution aligns with the architecture.
• Hands‑on delivery is the primary mode—you lead from the front, writing code and solving problems directly alongside the team.

• Lead cross‑functional delivery teams of data engineers, ML engineers, MLOps specialists, and software developers.
• Define technical work streams, review code and designs, and ensure architectural coherence throughout the implementation.
• Provide coaching, mentoring, and thought leadership to elevate engineering quality and delivery excellence.

• Work across intricate enterprise ecosystems with heterogeneous applications, distributed data sources, and legacy components.
• Identify modernization paths and integration patterns that respect operational realities and long‑standing constraints.
• Embed data protection, cybersecurity controls, governance, and compliance in solution design.

• Design architectures that support AI development, deployment, monitoring, governance, and lifecycle management.
• Build reusable architectural patterns and components that accelerate scaling AI beyond single use‑cases.

• Build trusted relationships with CDOs, CIOs, Chief Architects, engineering leads, and business stakeholders.
• Contribute technical expertise to proposals and RfPs.
• Identify opportunities to expand AI and data platform capabilities across the organization.

• A role at the forefront of AI transformation for leading Swiss enterprises in financial services, insurance, and beyond.
• Work with cutting‑edge AI technologies and innovative solutions that create real, measurable business value.
• A dynamic, entrepreneurial work environment where your contributions directly drive company growth.
• Supportive team culture that prioritises continuous learning, professional development, and personal growth.
• A leadership ethos focused on empowering people, fostering collaboration, excellence, authenticity, and diversity.
• Competitive salary package, 25 days of vacation, development budget, and a flat hierarchy.