Artificial Intelligence Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used Artificial Intelligence
Vincent Verdet
Last position:
IT Business Partner & Enterprise Architect at Sulzer
- Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
- Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
- Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
- Led the divisional & group wide Application Rationalization initiative
- Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
- Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
- Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
- Built and owned the 3-year IT Strategic Roadmap for Chemtech
- Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
- Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.
Matthias Sauer-Rank
Last position:
Lecturer Software Management, 10% at FH Graubünden
- Design and delivery of the university module "Software Management" in the Bachelor's program Artificial Intelligence in Software Engineering
- Teaching software project management, project organization, stakeholder management, risk and quality management, as well as agile and hybrid project steering
- Covering release planning, cut-over, go-live, handover to operations, and the operational impact of technical decisions
- Developing a case study across the semester for practical application of the methods taught
- Designing lectures, group work, risk and decision workshops, and practice-oriented assessments
- Combining methodological fundamentals with experience from software development, customer projects, delivery, release, testing, and IT operations
- Use of AI in software and project management
Methods and tools: Software project management, HERMES, PRINCE2, Scrum, Kanban, hybrid delivery models, requirements engineering, risk and quality management, release management, test management, Moodle
Gwang Jin Kim
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Banashankari Naragundkar
Last position:
Senior IT Project Manager, Data and Integration Platform at MCH Group, Group IT
Led implementation of an Azure cloud-based, event-driven enterprise integration platform connecting Salesforce, Momentus(event) and ERP applications. Reduced overall costs by 60%, lowered operational errors to under 1%, and delivered on time.
- Led the full project lifecycle from initiation to delivery using agile and hybrid methods - platform vision, feasibility, technical blueprint, architecture, implementation, integration, testing, rollout and business adoption.
- Built the engineering team from the ground up, leading teams across Switzerland, Bulgaria and India using Scrum and Kanban; established Jira, Confluence, Asana and SharePoint for delivery and reporting.
- Established and managed frequent steering meetings, reporting that gave stakeholders transparency and drove key decision-making.
Chris Wyer
Last position:
Senior Product / UX Designer at NOUMENA DIGITAL
- Designed services, interfaces and workflows for tokenized-finance and digital-asset ecosystems, including a MiCA-regulated stablecoin platform.
- Worked directly with product, engineering and stakeholders to translate business, regulatory, privacy and technical requirements into usable product experiences.
Marc Pedri
Last position:
Digital Strategy Consultant at EVO Creations
Retail AI Transformation: Led the transition of bespoke AI conversational models into a scalable, luxury-tier chatbot platform for Florentia Village (China), reducing operational costs to 20% while providing a multi-tenant solution for retail stakeholders, increasing revenue through AI-driven sales recommendations.
Consumer Tech Innovation: Developed an AI real-time automation engine for Philips live-streaming, enabling automated Q&A and sentiment analysis to enhance high-pressure sales performance
Pharma Digital Strategy: Engagement lead, consultant and orchestration of Omnichannel transformation for Grünenthal across 14 countries, leading SteerCo meetings, managing financials + RAIDs + QRBs across 192 projects, liaising between C-Level (EU/US), Global Omnichannel head, Global Customer Excellence, Global Marketing Heads and Outsourcing hub (India), driving revenue to 160%.
Governance & RAID: Implemented rigorous project governance, plans, and RAID logs for high-pressure digital transformations, ensuring SteerCo visibility and cross-functional alignment across various engagements.
Product Manager (Conversational Analytics Platform): Led the end-to-end development of a state-of-the-art NLP-based analytics platform. Defined the product roadmap and user stories, and managed the engineering team from MVP to launch.
US-to-EU market entry: Directed the digital infrastructure for a major US-to-EU market entry, aligning global dev teams with European regulatory standards.
Christoph Pardon
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time-to-market by 50% through CI/CD pipeline optimization and the introduction of self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Lenka Pytelkova
Last position:
Workday Technical Architect at Swisscom
(Project Assignment via consulting company HighPerfPeople)
- Lead the Workday Optimization Board, defining and presenting the Workday enhancement roadmap; drive prioritization based on stakeholder input, system analysis, and identified capability gaps.
- Challenge business requirements and proposed solutions to ensure alignment with long-term architecture principles, platform strategy and operational sustainability.
- Own the complete lifecycle of Workday enhancements from business discovery and solution design through implementation governance, testing strategy, deployment and stabilization.
- Act as functional/technical lead for key product areas including Peakon, Workday Learning, and Talent/Performance processes (e.g., year-end cycle, goal setting).
- Define and implement Workday branding and communication standards (templates, notification design, messaging structure) to improve consistency and employee experience.
- Build and enhance manager- and HR-facing tools (reports, dashboards, guidance/Journeys, process support assets) to reduce manual effort and improve decision-making.
- Translate complex system behavior, security/privacy constraints, and process implications into clear options for business stakeholders and leadership.
- Drive cross-functional collaboration with HR process owners, IT/security, and vendors to resolve issues and enable scalable solutions.
- Strong focus on adoption: ensure changes are usable, understandable, and actionable for employees, managers, and HR teams.
Andreas Bernhardt
Last position:
Finance Expert, AI Training & Evaluation at Micro1
- Design complex finance prompts and evaluation rubrics for frontier AI models across corporate finance, valuation, financial statement analysis, leverage, treasury, and cross-border finance topics.
- Create expert-level test cases to assess genuine multi-step financial reasoning rather than simple lookup or pattern matching.
- Review model outputs for numerical accuracy, logical consistency, assumption quality, source traceability, and compliance with prompt requirements.
- Stress-test AI responses on accounting, covenant logic, scenario analysis, returns analysis, and decision-useful written synthesis.
Tobias Wildi
Last position:
IT Consultant, Co-Founder at PRONT GmbH
- Technical product ownership for a global customer portal in the indoor climate sector, including API integrations, backend connectivity, and expansion of digital customer services
- Developed the solution architecture and AI use cases for a claims management platform, integrating it into the enterprise architecture for a leading insurance company
- Developed the target operating model and led the implementation of the global investment platform for an investment bank
- Developed the target operating model and platform strategy for a new digital health platform for a health insurance company
- Developed the platform strategy, defined use cases, and built the data architecture for a digital health platform of a health insurance company
Milan Simonović
Last position:
Cloud Architect & DevOps at Avaloq
- Main cloud solution architect on a banking SaaS offering hosted in Azure.
- Fully automated the Azure infrastructure in Terraform.
- Reduced cloud costs by 50%.
- Responded to incidents, found root-causes and closed with post-mortems.
Sam Lund
Last position:
Principal Consultant – Digital Strategy & Portfolio Governance at Independent Consultant
- Advise global organizations on enterprise transformation, digital operating models, and portfolio governance across safety-critical and highly regulated environments.
- Guided enterprise transformation of engineering and lifecycle governance at Alstom, Bombardier, and Thales, aligning enterprise-scale digital engineering practices across global development programs.
- Supported software-defined vehicle transformation at CARIAD (Volkswagen Group) by designing governance structures and lifecycle alignment for complex digital vehicle platforms.
- Translated Industry 4.0 digitalization strategy into capability-driven transformation portfolio at FLSmidth, enabling development of IoT-based industrial platforms.
- Applied AI-supported methods for large-scale engineering data analysis and validation, significantly reducing reporting and compliance cycle times.
Robin Ochsner
Last position:
Co-Founder & AI Solutions Architect at airdys
- Product strategy, architecture, and technical co-direction
- AI workshops, client onboarding and go-to-market activities
- Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
- Hands-on development of prototypes and production-ready AI integrations
- Consulting clients on AI adoption, workflows, and integration into existing infrastructure
- Collaboration with co-founders on strategic direction
- Collaboration in sales and customer acquisition
Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker
Peter Puchalla
Last position:
Consultant Strategy & Digital at Polynova AG
- Designed the growth and digital strategy for an EU distributor
- Established a differentiation strategy focusing on horizontal portfolio expansion, ESG and SG&A cost reduction using new digital sales and service channels
- Offered same-day logistic delivery for key customers, increasing customer satisfaction by 25%
Jürgen Müller
Last position:
Global Healthcare IT and Strategy Expert at Deloitte
Executive advisory for healthcare organizations focused on enterprise transformation, healthcare modernization, digital health strategy, AI strategy, enterprise ICT transformation and strategic EHR modernization.
- Advise healthcare organizations in Switzerland, Germany and Belgium on EHR strategy, enterprise transformation, digital health, AI and target operating models.
- Lead EHR platform selection and evaluation as well as RFI/RFP processes; define governance, vendor-assessment and decision methodologies.
- Develop EHR feasibility studies, transformation roadmaps, executive business cases, cost-benefit analyses and value-realization assessments.
- Assess Epic and alternative EHR platforms for strategic fit, operational excellence, AI enablement, interoperability, governance and long-term value.
- Design AI strategy scenarios and governance models and facilitate executive workshops on AI, data governance, operational excellence and future healthcare operating models.
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Switzerland: 22 years)
Position duration
3 years (Switzerland: 2.9 years)
Positions per freelancer
10 (Switzerland: 11)
Top business areas
Information Technology, Project Management, Product Development
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Switzerland: 97%)
Master's degree or higher
90% (Switzerland: 79%)
Doctorate
15% (Switzerland: 13%)
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Zurich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Zurich using Artificial Intelligence
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Enterprise Applications of Artificial Intelligence
Modern algorithmic systems automate complex decision-making, process vast datasets, and generate natural language. Organizations leverage these technologies to automate manual workflows, predict market trends, and build conversational interfaces that improve customer engagement.
Zurich's Specialized AI Landscape
In Zurich, the demand for advanced computational systems is driven by high-value sectors like financial services, wealth management, and biotechnology. Local initiatives often focus on private deployments, strict data residency compliance, and secure cloud environments that align with Swiss regulatory frameworks.
Key Frameworks and the AI Ecosystem
Successful deployment relies on a robust stack of open-source libraries, specialized infrastructure, and cloud APIs:
- Deep learning frameworks such as PyTorch and TensorFlow for model training.
- Large language model integration using LangChain, LlamaIndex, and Hugging Face.
- Vector databases like Pinecone, Milvus, or Qdrant for semantic search.
- Cloud machine learning platforms on AWS, Azure, and Google Cloud.
Core Deliverables of AI Specialists
External professionals join teams to execute complex technical milestones:
- Fine-tuning pre-trained foundation models on proprietary corporate data.
- Building secure retrieval-augmented generation pipelines for internal knowledge bases.
- Designing computer vision systems for quality control or medical imaging.
- Implementing MLOps pipelines to monitor drift and automate model retraining.
Strategic Triggers for External Expertise
Companies bring in specialized talent when internal teams lack the specific mathematical or system design knowledge required for advanced model training. External help is critical when transitioning a pilot proof-of-concept into a production-grade, highly scalable system that requires low-latency inference.
Characteristics of Leading AI Professionals
Top specialists combine advanced mathematical foundations with practical software engineering skills. They understand data pipeline design, model optimization, and the ethical implications of algorithmic decisions, ensuring that deployed systems are both performant and compliant with local data privacy standards.
Frequently asked questions
Need clarity? These are the questions we hear most often about Artificial Intelligence.
An specialist in Artificial Intelligence helps businesses identify high-value automation opportunities and designs models to solve them. They prepare complex training datasets, select appropriate algorithmic architectures, and integrate model outputs into existing software applications.
Python is the standard language for AI development due to its rich ecosystem of data science libraries. Specialists rely heavily on PyTorch and TensorFlow for deep learning, alongside scikit-learn for traditional machine learning algorithms and pandas for data manipulation.
Traditional machine learning focuses on classification, regression, and pattern recognition based on historical data. In contrast, generative Artificial Intelligence creates new content, such as text, images, or code, by leveraging deep learning architectures known as transformers.
Projects utilizing Artificial Intelligence in Switzerland must comply with the Federal Act on Data Protection (FADP) and often the European GDPR. Specialists in Zurich ensure compliance by implementing data anonymization, local hosting, and secure on-premise deployments for sensitive financial or medical data.
While core development for Artificial Intelligence projects can easily be done remotely, many Swiss financial and healthcare institutions prefer a hybrid model. This allows specialists to collaborate directly with business stakeholders on-site in Zurich during the initial scoping and security review phases.
Because Artificial Intelligence research and technical documentation are globally standardized in English, all qualified specialists possess professional English proficiency. For projects involving local German-speaking stakeholders or regional data, a specialist fluent in German is highly beneficial.
Technical capability in Artificial Intelligence is best assessed through past production deployments and code repositories. Ask candidates to explain how they handled specific challenges like data scarcity, model drift, or latency optimization in their previous projects.
MLOps, or Machine Learning Operations, applies DevOps principles to Artificial Intelligence workflows. It ensures that deployed models are continuously monitored, tested, and retrained in production, preventing performance degradation over time as real-world data changes.
The average hourly rate of freelancers in Zurich, Switzerland who have used Artificial Intelligence in their recent projects is 126 €, which corresponds to a daily rate of about 1,009 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Artificial Intelligence in their recent projects, 100% hold at least a Bachelor's degree, 90% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Artificial Intelligence in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Zurich, Switzerland who have used Artificial Intelligence in their recent projects are English (100%), German (96%), and French (45%).
The most common industries among freelancers in Zurich, Switzerland who have used Artificial Intelligence in their recent projects are Information Technology (77%), Banking and Finance (68%), and Professional Services (62%).
The most common business areas among freelancers in Zurich, Switzerland who have used Artificial Intelligence in their recent projects are Information Technology (83%), Project Management (72%), and Product Development (60%).
Main locations of FRATCH Experts, who have recently used Artificial Intelligence
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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