Generative AI Experts in Austria
for production-ready solutions, matched in minutes with vetted freelancersHire experts who design retrieval-augmented applications, fine-tune language models and integrate generative AI into business workflows. FRATCH connects you with precisely matched, vetted and available freelancers who can contribute remotely or on site.
Meet FRATCH Experts in Austria, who have recently used Generative AI
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Chrisabel P.
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 D.
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 K.
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
Wolfgang F.
Last position:
AI Driving License Trainer at KI-Trainer WIFI Wien
Thomas B.
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 S.
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 M.
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 F.
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 C.
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 M.
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
19 years
Position duration
2.3 years
Positions per freelancer
9
Top business areas
Information Technology, Project Management, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
91%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Generative AI experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (82%)
- Professional Services (73%)
- Banking and Finance (55%)
- Energy (45%)
- Food and Beverage (36%)
- Manufacturing (36%)
- Retail (36%)
- Education (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Generative AI does
Generative AI creates new text, images, audio, video and software from learned patterns. Companies use it for conversational assistants, document processing, content workflows, search interfaces and creative production. The work can combine large language models, multimodal models and domain-specific data.
Products and use cases
Generative AI specialists turn experimental ideas into controlled business systems. Common deliverables include:
- Customer and employee assistants grounded in approved knowledge
- Retrieval-augmented generation for documents and enterprise search
- Automated drafting, classification, summarisation and extraction
- Image, audio or video generation for marketing and product workflows
- Coding assistants and natural-language interfaces for internal tools
Ecosystem and tooling
The ecosystem spans foundation models from OpenAI, Anthropic, Google and open-source communities. Specialists work with APIs, model gateways, vector databases, embeddings, prompt templates and orchestration frameworks such as LangChain and LlamaIndex. They also connect models to cloud services, data pipelines, identity systems and existing software.
When companies need expertise
Freelance expertise is useful when a proof of concept must become a dependable product, or when an internal team needs guidance on model selection and data readiness. It can also support a migration from a basic chatbot to a grounded assistant, establish evaluation processes or connect generative AI with regulated workflows. In Austria, collaboration may involve remote delivery alongside local workshops and German-language requirements.
Building reliable systems
Strong professionals treat model output as probabilistic rather than automatically correct. They design retrieval and tool-use boundaries, manage sensitive data, test prompts and evaluate responses against representative tasks. Good solutions include fallback paths, human review, observability, access controls and clear ownership for model and content changes.
Choosing the right specialist
Look for evidence of complete generative AI deliveries, not only prompt experiments. A capable specialist can explain trade-offs between hosted and open models, latency and quality, data protection and operational effort. They should define acceptance criteria, expose uncertainty and document how the system behaves when its sources are incomplete or conflicting.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Generative AI.
Generative AI is used to produce or transform text, images, audio, video and code. Companies apply it to assistants, search, document workflows, customer communication, marketing and software interfaces. A specialist should connect the use case to measurable process improvements and appropriate human review.
Generative AI creates responses or content from learned patterns, while traditional automation follows defined rules and search retrieves existing information. It can make interfaces more flexible, but it may also produce unsupported statements. Retrieval, source citations and workflow controls help address that difference.
A strong Generative AI specialist often combines model integration with data engineering, software architecture, cloud services and information security. Useful adjacent skills include embeddings, vector search, prompt design, evaluation, API development and user experience. Knowledge of the company’s domain is equally important.
The right level of Generative AI experience depends on the risk and scope of the initiative. A contained prototype may need strong API and workflow skills, while a customer-facing or sensitive system requires production operations, evaluation, security and governance. Ask for examples that cover deployment and ongoing improvement, not only demonstrations.
Generative AI projects are often suitable for remote collaboration because model APIs, cloud environments and evaluation tools are accessible online. On-site workshops can still help with process discovery, data access and stakeholder alignment in Austria. Agree on communication routines, language expectations and handling of confidential data before work begins.
Before adopting Generative AI, companies should classify the data, review provider terms and define where prompts, documents and outputs are stored. Access controls, redaction, retention rules and audit trails should match the sensitivity of the workflow. A qualified specialist can map these controls into the technical design.
Evaluate Generative AI with representative tasks and a documented review method rather than relying on impressive sample answers. Check factual grounding, refusal behavior, consistency, latency, usability and operating cost. Strong professionals create an evaluation set, track regressions and explain known limitations.
Generative AI choices depend on privacy, control, integration effort, performance and operational capacity. A hosted API can speed up delivery, while an open model may offer more control over deployment and adaptation. The decision should follow tested requirements instead of a preference for a particular vendor or model family.
The average hourly rate of freelancers in Austria who have used Generative AI in their recent projects is 108 €, which corresponds to a daily rate of about 868 € 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 91% hold at least a Master's degree.
On average, freelancers in Austria who have used Generative AI in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.3 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 (45%).
The most common industries among freelancers in Austria who have used Generative AI in their recent projects are Information Technology (82%), Professional Services (73%), and Banking and Finance (55%).
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 (82%).
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 Countries:
- Germany
- Austria
- Switzerland
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FRATCH CEO
