Generative AI Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Generative AI
Chrisabel Prischl
Last position:
AI Systems & Product Strategy Expert at Webmeisterin
I build. I advise. I think in systems. After years leading digital transformation at scale — Accenture, BP, Lidl — I made a deliberate choice: trade platform dependency for structural independence. My focus is at the intersection of AI systems, product strategy, and venture thinking. I work with operators and founders who want to move fast without losing control — of their data, their stack, their direction.
Christina Dulnigg
Last position:
Community Manager Social Intranet at Bayerische Versorgungskammer (BVK)
- Support for the introduction of new digital exchange and communication structures as part of an organization-wide transformation project
- Conception, setup, and operational management of Viva Engage communities within the intranet as part of the rollout of new digital exchange and communication formats
- Planning and support of the pilot phase and the initial operational phase, including feedback and optimization loops
- Onboarding and enablement of employees and leaders in the use of new digital exchange formats
- Development of change management and activation measures to drive participation and adoption
- Moderation of discussions and creation of guidelines, FAQs, and netiquette
- Editorial and content strategy, including leadership communication
- Adaptation and implementation of central concepts and communication guidelines to organization-specific requirements
- Monitoring, reporting, and derivation of optimization measures
- Coordination with IT, data protection, communications, and business units
Christoph Kals
Last position:
AI project lead at Logistics industry
- Project lead for the introduction of an AI-supported email automation system for a logistics service provider
- Requirements analysis, stakeholder coordination, consulting, implementation support
Thomas Becker
Last position:
Agile Coach, Scrum-Master at ÖBB (Infra)
- Challenge: poor project results and team performance, very poor work environment
- Solution: introduction of agile planning processes, teaching agile principles within the SAFe framework
- Innovation: consistent use of agile methods; introduction of requirements engineering, story writing
- Leadership: interface with the board, program management Opel Europe, GM USA and international markets
- Result: most productive team in the ART; increased planning accuracy to over 85%
- Team size: 10
Slavi Slavev
Last position:
Head of AI Enablement at REEVO Tech
- Architected enterprise AI strategy delivering 25% cost reduction through multi-LLM platform integration (Claude, OpenAI, Gemini) with intelligent routing and fallback optimization
- Drove operational excellence achieving 85% reduction in manual documentation and 3x faster campaign production through AI workflow automation and agent deployment across Slack and Microsoft Teams
- Established AI governance framework from ground up, implementing EU AI Act compliance, data redaction protocols, and safety filters aligned with DPIA standards
- Scaled AI adoption through structured onboarding programs, developing departmental workflows with secure access controls and comprehensive audit trails
- Implemented advanced RAG systems using Elasticsearch, Vertex AI, and Azure AI Foundry to improve knowledge access and output reliability
- Managed delivery through OKR framework coordinating cross-functional squads across 6-week project cycles to ensure strategic alignment and measurable results
Sergiu Mocian
Last position:
IT Project Manager & Transformation Lead at OMV
- Program delivery: set-up of strategic initiatives from ideation to execution, designing cross-divisional operating models that streamlined delivery across 6 business units.+
- Large scale initiatives: IT project manager of eMobility mobile app development for entire group, cross-country and multi-year initiative, with budget oversight of >2Mn and 20 FTEs.
- Product lifecycle management: delivered the end-to-end SDLC of a key B2B digital mobility application, successfully launching to 10 000+ users while managing vendor partnerships and system architecture.
- Vendor oversight: successfully negotiated and managed multi-vendor contracts, with negotiated contract value of 30% with no impact on scope.
- Architecture definition: definition of system architectures to ensure scalable, cost-effective solutions for the pricing, logistics and mobility domains, integration of 3 back-end systems.
- Digital transformation & coaching: supported group-wide agile maturity as a coach, upskilling pool of over 40 professionals in Product Management to increase delivery predictability and ensure value-driven approach.
Armin Fanzott
Last position:
Head of AI & Data Science at Ascent DACH
- Lead architect for AI and ML projects including GenAI, LLM-based apps and forecasting solutions
- Guided customers through solution scoping, architecture design, and PoCs across various industries (Pharma, Insurance, Logistics, FMCG)
- Delivered production ML pipelines using Azure ML, MLflow, and MLOps best practices
- Responsible for effort estimation, delivery and staffing of 5 – 10 projects simultaneously
- Hiring manager for the data science and AI team and responsible for creating the technological offering and roadmap in the AI & Data Science space
- Built and scaled the AI/Data Science service offering from scratch to a high 6-figure annual revenue with 30+ successful deliveries and 20+ clients
- Regular speaker at AI and data science conferences and academic institutions
Timo Casanova
Last position:
Freelancer (SAP and AI) at Timo Casanova e.U.
Specialized in SAP architecture, SAP Basis, S4, SAP Migration - R3 and IT infrastructure (on-premise and cloud)
Leading complex SAP S/4HANA implementation and migration projects
Consulting on and optimizing SAP landscapes for large enterprises
Developing custom IT infrastructure solutions for SAP environments
Managing projects from concept to go-live, including post-implementation support, ensuring best practices
Christian Mayr
Last position:
Senior Feature Engineer - Banking at start.me app e.U.
- Requirements engineering & business analysis
- Architecture responsibility for core banking extensions
- Interface modeling for third-party systems (TiGital, ESA, ÖNB)
- AML, KYC & payment reporting
Discover over 15,000 top freelancers
Statistics of experts using Generative AI
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
2.2 years
Positions per freelancer
9
Top business areas
Information Technology, Project Management, Product Development
Top industries
Information Technology, Professional Services, Energy
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
89%
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 Austria 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 Austria 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 turns prompts, data, and model outputs into useful content and decisions. It powers chat assistants, search experiences, drafting tools, image generation, and internal knowledge systems. In Austria, companies bring it into customer support, document work, and product features that need natural language.
Common builds
- Chat and support assistants
- RAG systems over company knowledge
- Content drafting and review flows
- Image, text, and code generation tools
- Workflow automation with model calls
Key skills
Strong specialists know prompt design, retrieval-augmented generation, model selection, and evaluation. They also work with APIs from OpenAI, Anthropic, and Azure OpenAI, plus vector databases and orchestration tools. Good work is not just creative; it is measurable, repeatable, and safe to run in production.
When to bring help
Companies usually look for freelance expertise when a prototype needs to become a stable product. That often means fixing unreliable outputs, improving prompts, reducing latency, or connecting the model to private data. It also helps when teams need an outside view on model choice, security, or cost control.
What strong experts do
A strong professional tests outputs against real tasks, not just demos. They define guardrails, design fallback paths, and adapt the system as models change. They also document how the solution works so product, legal, and engineering teams can use it with confidence.
Austria context
Austria-based teams often need experts who can work in English and, when needed, support German-language workflows. That matters for internal assistants, customer-facing drafting, and knowledge search across local documents. Remote collaboration works well, but on-site sessions can help when the project touches sensitive data or several business units.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Generative AI.
Generative AI is used to draft text, answer questions, summarize documents, generate images, and help teams search internal knowledge. In product work, it often appears in chat assistants, copilots, content tools, and workflow automation. The best use cases are clear tasks where model output can be checked and improved.
Generative AI is the broader field. ChatGPT is one well-known application built on large language models, while many other systems use the same core ideas for search, drafting, analysis, or image creation. A freelancer should be able to work beyond one tool and design the right setup for your use case.
Generative AI creates new text, images, code, or structured output, while traditional machine learning is often used for prediction, ranking, or classification. Many projects combine both, but the goals are different. If you need natural-language interaction or content generation, GenAI is usually the better fit.
A strong Generative AI specialist usually understands prompt design, API integration, retrieval-augmented generation, and evaluation. Useful extra skills include Python, vector search, cloud services, and basic security practices. For production work, experience with logging, guardrails, and testing matters just as much as model knowledge.
A small proof of concept may only need one experienced Generative AI professional. A production system that touches customer data, internal documents, or regulated workflows needs someone who has shipped similar work before. The risk is not the prompt itself; it is the reliability of the full system.
Yes, most Generative AI work can be done remotely from Austria. Shared documents, API access, and screen sessions are usually enough for discovery, build, and review. On-site time helps when workshops involve many stakeholders or when the project requires close access to sensitive information.
A good Generative AI expert can explain trade-offs clearly and show how outputs are evaluated. Look for evidence of real systems, not just demos: retrieval design, fallback handling, safety measures, and monitoring. Strong specialists also know when not to use a model at all.
Ask how the Generative AI solution will be measured, what data it may use, and how failure cases are handled. You should also ask which model family is suitable, how privacy is protected, and how the system will change as the model updates. Clear answers here are a good sign of practical experience.
The average hourly rate of freelancers in Austria who have used Generative AI in their recent projects is 107 €, which corresponds to a daily rate of about 854 € based on an 8-hour working day.
Of the freelancers in Austria who have used Generative AI in their recent projects, 100% hold at least a Bachelor's degree and 89% hold at least a Master's degree.
On average, freelancers in Austria who have used Generative AI in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Austria who have used Generative AI in their recent projects are German (100%), English (100%), and French (44%).
The most common industries among freelancers in Austria who have used Generative AI in their recent projects are Information Technology (78%), Professional Services (78%), and Energy (56%).
The most common business areas among freelancers in Austria who have used Generative AI in their recent projects are Information Technology (100%), Project Management (100%), and Product Development (78%).
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.
Vienna Graz 
Vienna Request a free demo
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Philipp Thomaschewski
FRATCH CEO
