Generative AI Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Generative AI
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
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.
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.
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%
Ralf Ramge
Last position:
Security Architect at Federal Employment Agency
Responsibility for the design, migration, and integration of a security- and audit-critical HashiCorp Vault platform in the trust center of a nationwide authority with system-critical importance.
Analysis and realignment of the existing HashiCorp Vault landscape, including production and planned use cases
Design, proof-of-concept, migration, and integration of HashiCorp Vault Enterprise, taking into account the authority's PKI and operational processes
Design and implementation of an automated certificate and secrets management system for 300 Kubernetes clusters and several thousand certificates in the trust center
Securing the Vault platform using hardware security modules (HSM)
The solution enables a highly available, audit-compliant, and automated operation of certificate and secrets use cases in a highly regulated environment.
Technologies used: HashiCorp Vault Enterprise, Terraform, Ansible, OpenSSL, PKI, HSM
Daniela Hengl
Last position:
Data-Based Transformation & Strategic Business Capability Mapping at CSS Versicherung
- Architected and implemented a Data Value Framework as a decision-making basis for strategic prioritization and determining data-driven value contributions along the corporate value chain, connecting data value with business objectives.
- Designed standardized use cases to assess the maturity levels for quantifying business value and data value.
- Integrated the framework within SAFe structures in Lean Portfolio Management and ARTs to guide strategic investment decisions.
- Developed metrics and evaluation procedures for prioritizing business areas based on quantitative data.
- Redesigned data governance, including the introduction of the data owner role with clearly defined responsibilities and differentiation from the data steward role.
- Derived MVP priorities using gap analyses across key areas and value stream analysis.
Christian Bucholdt
Last position:
Principal Business Acceleration & Advisory at Xebia
- Building productivity solutions for backoffice functions including case management and automated workflows in insurance
- Integration of GenAI functionality in operational processes for efficiency based on measurable KPIs
- Successfully delivering integration and data projects with agile methodology in requirements engineering, cloud native development and computing, software development, data analytics, quality management and technical documentation
- Coaching and advising clients for adoption of technologies such as use case identification, organizational impact assessment and building a business case for investments
- Advising clients on cost optimization through IT carve out and outsourcing of software product engineering
- Technologies: Jira, Confluence, ServiceNow, GitHub Co-Pilot, Agile/SAFe
Ursula Maria Mayer
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Fabian Kostadinov
Last position:
Lecturer at HWZ University of Applied Sciences
- Co-teach in CAS AI Management and CAS AI Innovation programs for future AI managers
- Cover topics including data platforms, AI architecture, technology adoption foundations, and factors influencing enterprise AI initiative success
Matthias Isler
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Rami Linkomo
Last position:
Board and Business Advisor, part-time at CloudMotiv
Advising the founders on commercial GenAI-empowered enterprise solutions including strategy, positioning, product architecture, implementation and organizational scaling to meet global client needs.
Supported the creation of the IoT commercial drone business vertical, delivering on six continents.
Supported the exit from the India only predictive machine maintenance software joint venture.
Supported the long-game entry into the proprietary AI embedded software solutions area, now at MVP and client PoC stages in Financial Research (footnote.ai) and EPM & ERP (cloudbooks.ai) in Asia.
Georgios Sfakianakis
Last position:
Senior Software Engineer at UBS Bank
- Implementations of a code refactoring framework able to refactor thousands of repositories leveraging Generative AI
- Use Python (Django, Flask, FastAPI), Java and Typescript in Azure Cloud (Data Lake, VMs, AI) and GitLab infrastructure
- Mentoring and pair programming
- Obtained Azure AI-900 and AI-102 certifications
Ahsen Zala
Last position:
Founder & Business Strategist at Kream Korean Skincare
- Founded and scaled an e-commerce startup, overseeing full-cycle business operations and strategic growth initiatives.
- Conducted market research on consumer trends to shape growth roadmap.
- Designed website in Figma, working on UX/UI to ensure an intuitive and seamless customer journey.
- Built the Shopify-based platform, integrated analytics (Google Analytics, Meta Pixel, SEMrush), and executed digital marketing campaigns and influencer partnerships.
- Established partnerships with Korean skincare brands and managed supply chain operations.
Séverine Boulard
Last position:
Cross-Border HR Advisor at HR Graff Consulting GmbH
Supporting international clients with formal processes like serving judicial documents under Hague protocols, coordinating certified translations, and ensuring local compliance.
Skills: International Legal Coordination, Certified Translation Management, Cross-Jurisdictional HR
Discover over 15,000 top freelancers
Statistics of experts using Generative AI
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.5 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Strategy
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
93%
Doctorate
14%
Certifications per freelancer
3
Most common languages
German, English, 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 Switzerland 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 Switzerland using Generative AI
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
What it covers
Generative AI is used to create text, code, images, and structured outputs from prompts and context. Companies bring in specialists for chat assistants, content workflows, internal search, and document automation. The work often centers on GPT, OpenAI, Claude, and similar model APIs.
Common builds
- Copilot-style assistants for teams and customers
- Retrieval-augmented generation with company knowledge
- Prompt flows, guardrails, and output validation
- Model integrations in web apps and internal tools
- Prototype-to-production paths for new AI features
Skills that matter
Strong specialists know prompting, evaluation, context design, and data preparation. They also work with embeddings, vector databases, orchestration layers, and API integration. The best people can balance speed, reliability, cost, and privacy without overcomplicating the system.
When to bring in help
Companies usually need freelance expertise when they want to move beyond experiments and ship a stable feature. That can include choosing the right model, fixing hallucinations, improving retrieval, or making outputs safer for users. In Switzerland, this often fits product teams that need English plus German or French content in the same flow.
Ecosystem and tooling
Generative AI projects often touch OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, LangChain, LlamaIndex, and vector stores such as Pinecone, Weaviate, or pgvector. Specialists may also work with RAG pipelines, observability tools, and evaluation sets. Good delivery depends on clean prompts, good data access, and repeatable tests.
What strong specialists deliver
A strong expert ships working features, not demos. They define clear use cases, write prompts that hold up under real input, and measure output quality with practical tests. They also document limits, handover steps, and safe operating rules so teams can maintain the system after launch.
Frequently asked questions
Not sure where to start with Generative AI? These answers cover the essentials.
Generative AI is used to draft text, summarize documents, answer questions, generate code, and create structured content from company data. It is common in support assistants, knowledge search, marketing workflows, and internal productivity tools. The best use cases are narrow, well defined, and tied to real business tasks.
Generative AI creates new output, while classic machine learning often classifies, predicts, or scores existing input. In practice, teams use it when language, context, or synthesis matters more than fixed rules. It usually depends on foundation models rather than a model trained only for one small task.
A strong Generative AI specialist usually brings prompt design, API integration, data handling, and evaluation skills. Experience with RAG, embeddings, vector databases, and security controls is often important too. For production work, software architecture and testing discipline matter as much as model choice.
A Generative AI project benefits from expert help as soon as the idea moves past a simple demo. If the output must be accurate, safe, or connected to company data, specialist input saves time. The earlier the scope is unclear, the more valuable an experienced freelancer becomes.
A Generative AI workflow is better when the task needs your own documents, rules, or tone. Standard tools work for generic writing, but they struggle with private knowledge, approval steps, or controlled outputs. A specialist can design the right mix of prompt logic, retrieval, and validation.
Yes, most Generative AI work can be done remotely if the access setup is clear. For Swiss companies, remote collaboration often works well for design, build, and testing, while on-site sessions help with stakeholder alignment or sensitive data reviews. Good communication in English is usually enough, though German or French can help in user-facing projects.
Look for shipped use cases, not vague claims. A strong Generative AI freelancer can explain model choice, prompt strategy, evaluation methods, and failure handling in plain language. Ask how they test outputs, reduce hallucinations, and make the system maintainable after launch.
The main alternatives to Generative AI are rules-based automation, templates, search, and traditional NLP. Those options can be better when output must be fully deterministic or tightly controlled. A specialist should be able to explain when a simpler approach is the right one.
The average hourly rate of freelancers in Switzerland who have used Generative AI in their recent projects is 116 €, which corresponds to a daily rate of about 932 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Generative AI in their recent projects, 100% hold at least a Bachelor's degree, 93% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Switzerland who have used Generative AI in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Switzerland who have used Generative AI in their recent projects are German (100%), English (100%), and French (47%).
The most common industries among freelancers in Switzerland who have used Generative AI in their recent projects are Information Technology (100%), Banking and Finance (73%), and Professional Services (67%).
The most common business areas among freelancers in Switzerland who have used Generative AI in their recent projects are Information Technology (93%), Product Development (93%), and Strategy (67%).
Main locations of FRATCH Experts, who have recently used Generative AI
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.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
