This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Architect, AI/ML in Switzerland.
Join a highly technical and innovation-driven engineering environment focused on helping organizations accelerate the adoption and scaling of advanced AI and machine learning solutions. In this strategic leadership role, you will design enterprise-grade AI architectures, guide complex transformation initiatives, and serve as a trusted advisor to clients navigating modern AI ecosystems. You’ll collaborate with engineering, cloud, and business stakeholders to deliver scalable, secure, and production-ready AI systems that create measurable business value. The position offers the opportunity to work on cutting-edge technologies including large language models, agentic systems, cloud-native AI platforms, and high-performance model optimization frameworks. This role is ideal for experienced AI leaders who combine deep technical expertise with strong strategic thinking, client engagement, and mentorship capabilities. You will play a central role in shaping the future of AI solutions while contributing to technical innovation, thought leadership, and engineering excellence within a globally distributed remote team.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Join a highly technical and innovation-driven engineering environment focused on helping organizations accelerate the adoption and scaling of advanced AI and machine learning solutions. In this strategic leadership role, you will design enterprise-grade AI architectures, guide complex transformation initiatives, and serve as a trusted advisor to clients navigating modern AI ecosystems. You’ll collaborate with engineering, cloud, and business stakeholders to deliver scalable, secure, and production-ready AI systems that create measurable business value. The position offers the opportunity to work on cutting-edge technologies including large language models, agentic systems, cloud-native AI platforms, and high-performance model optimization frameworks. This role is ideal for experienced AI leaders who combine deep technical expertise with strong strategic thinking, client engagement, and mentorship capabilities. You will play a central role in shaping the future of AI solutions while contributing to technical innovation, thought leadership, and engineering excellence within a globally distributed remote team.
Accountabilities
- Lead the architecture, design, and delivery of sophisticated AI and machine learning solutions that address complex business and technical challenges across enterprise environments.
- Serve as a senior technical advisor during pre-sales engagements by helping scope opportunities, define solution strategies, and support technical presentations and client discussions.
- Design scalable, secure, and data-sovereign AI architectures aligned with regulatory requirements, privacy standards, ethical AI principles, and model explainability best practices.
- Architect and optimize AI platforms for hosting, fine-tuning, serving, and scaling both proprietary and open-source large language models across hyperscaler cloud environments.
- Guide engineering teams and clients on advanced AI/ML topics including high-performance model training, LLM optimization, inference efficiency, observability, and agentic workflows.
- Collaborate closely with cloud, infrastructure, and data architecture teams to ensure seamless integration of AI solutions into broader enterprise ecosystems.
- Lead the implementation of modern MLOps practices, deployment pipelines, monitoring frameworks, and AI governance standards for production-grade systems.
- Evaluate and recommend optimal cloud-native technologies, frameworks, and tooling to support scalable and cost-efficient AI deployments.
- Perform ROI analysis and cost optimization planning to ensure the long-term sustainability and operational efficiency of AI initiatives.
- Mentor engineering teams, promote technical excellence, and contribute to thought leadership through community engagement, technical publications, and industry presentations.
- Master’s degree in Computer Science, Mathematics, Engineering, Natural Sciences, or a related technical discipline, or equivalent practical experience delivering large-scale AI/ML systems.
- Extensive experience in senior or principal architecture roles with a proven record of designing and deploying production-grade AI and machine learning solutions.
- Deep expertise with at least one major cloud platform such as Google Cloud Platform, AWS, or Microsoft Azure.
- Strong hands-on experience with Google Cloud AI services, including technologies such as Vertex AI, GKE, and TPUs, is highly desirable.
- Proven expertise in large language model optimization techniques including quantization, pruning, LoRA fine-tuning, efficient inference, and model serving frameworks such as vLLM or TensorRT-LLM.
- Advanced knowledge of machine learning frameworks and high-performance training environments including PyTorch, JAX, PyTorch/XLA, or equivalent technologies.
- Experience designing and deploying agentic AI systems using frameworks such as LangGraph, LangChain, Google ADK, Vertex AI Agent Builder, or similar orchestration tools.
- Strong understanding of AI observability, evaluation, governance, and monitoring frameworks including LangSmith, LangFuse, Vertex AI Evaluation, or related tools.
- Expertise designing secure, private, and data-sovereign AI systems that comply with regulatory and privacy requirements.
- Excellent communication, stakeholder management, and consulting skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Demonstrated leadership, mentoring, and collaboration skills with a passion for innovation and continuous learning in the evolving AI landscape.
- Fully remote work environment with flexibility for candidates based in the EU or United Kingdom.
- Competitive compensation package aligned with senior-level technical expertise and industry impact.
- Opportunity to work on cutting-edge AI, ML, and cloud-native technologies with leading innovative organizations.
- Exposure to high-impact enterprise transformation projects involving large-scale AI adoption and modernization initiatives.
- Collaborative and technically advanced engineering culture focused on innovation, learning, and mentorship.
- Opportunities for professional growth, technical leadership, and thought leadership within the AI community.
- Flexible work structure designed to support autonomy, productivity, and work-life balance.
- Inclusive and diverse work environment that values collaboration, creativity, and continuous improvement.
- Ability to contribute directly to strategic AI initiatives shaping the future of enterprise technology solutions.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.