Generative AI Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Generative AI
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own company for AI governance and data products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact assessment 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
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of Master's theses and participation on examination boards
- Industry talks for businesses 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
- Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in live operations
- Own applications under my own brand: shared codebase, separate deployment for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Professional 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
Thomas P.
Last position:
Change Manager / AI-driven Finance Transformation at Agrana
Organizational Change Management for the strategic setup of a hybrid GBS rollout as part of a global, AI-driven Finance Transformation. End-to-end management of the OCM architecture in a highly complex on-, near-, and offshore partner setup [IN, PL, RO]. Successful completion of Phase 1 (Initial Strategy) and strategic pausing by the Executive Board after the early disclosure of critical vendor-side OPEX risks
Systemic Baseline Assessment & Stakeholder Diagnostics: Evaluation of the global organization and analysis of the process landscape across 21 countries [AT, DE, CH, FR, UK, SI, RO, UA, RU, US, CD, CN, AR, MX, ZA, IN, JP] to precisely determine change requirements
Architecting the OCM Strategy & Master Roadmap: Independent development of a comprehensive, AI-centered Change Roadmap for end-to-end management of all change initiatives across every project phase
Data Quality & AI Agent Risk Mitigation: Auditing of Process Data Repositories (Celonis analysis); prevention of the ingestion of 58% synthetic training data to safeguard AI model reliability amid geopolitical supply chain tensions
GBS Vendor BAFO Triage & Contractual Commitment: Critical review of Tier-1 vendor pitches and contractual commitment to a reduced Non-STP rate (from 7% to 4%) to avoid extreme manual rework with a planned FTE reduction (-63%)
Executive Enablement & Board Alignment: Design of the GBS Transformation Executive Board Deck to strategically enable C-level executives and transparently present completely overlooked AI tokenization costs
Targeted Change Communications & Engagement: Design and development of audience-specific communication measures to align the highly diverse, globally distributed stakeholder network
Adoption Velocity & Resistance Measurement: Engineering of quantitative measurement tools (Pulse Check Survey) using Behavioral Dyads to identify resistance based on data and ensure sustainable success measurement
Results:
- Avoidance of disruptive misallocations: Stopping the ingestion of 58% synthetic AI-agent training data after discovering only 42% compatibility with existing processes, preventing critical GBS cascade errors
- Significant OPEX & effort reduction: Reduction of the Non-STP rate in Tier-1 vendor BAFOs from 7% to 4% alongside an impending 63% Finance-FTE reduction; avoidance of thousands of time-consuming manual correction processes
- 100% Delivery of the OCM architecture & ROI protection: Delivery of all OCM artifacts (Change Roadmap, Comms Plan, Executive Board Deck, Pulse Check Survey) and protection of ROI by identifying incalculable LLM runtime token costs
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.
Claudia P.
Last position:
Self-employed Trainer & Learning Design at makting points matter
Project-based work on learning formats for professional development, focusing on practical delivery, digital implementation and transfer.
- Delivery of practical training for employees in the hotel industry
- Development of multi-stage learning architectures for in-person, online and individual learning formats
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
Dejan M.
Last position:
Head of Security - Hotel Security Services at HOTEL KRONE LECH
- Set up and managed operational security in an upscale seasonal hotel. Responsible for staff training, risk analysis, emergency and access management, security documentation, and coordination with hotel management, employees, guests, partners and authorities.
Christoph K.
Last position:
AI Project Manager at Logistics industry
- Project management 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
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
Thomas B.
Last position:
Interim Business Owner at Omterra (ex: Siemens Energy)
Global PLM & ERP Implementation / Migration
Context:
Budget: 8-digit | Project size: >100 | D-A-USA-MX-BR at al
Mandate:
Consulting and implementation: Analysis, structuring, and documentation of requirements, change requests, and improvement opportunities as part of a global PLM rollout within the company-wide ERP / SAP migration; resolving functional gaps, setting up change management; aligning local requirements with central ERP / PLM platforms; introducing new processes and governance to coordinate production sites with headquarters
Work Delivered:
- Analyzed, consolidated, and assessed requirements, operational issues, and change requests from company sites
- Structured, categorized, and prioritized topics, identifying patterns, risks, and areas requiring action
- Assessed existing service, support, and training structures
- Provided recommendations for operating models
- Conducted change and transformation analysis to identify barriers to acceptance, use, and adoption of harmonized engineering processes
- Provided recommendations for rollout, enablement, user adoption, and communications
- Prepared status reports, management summaries, and risk and action overviews
Discover over 15,000 top freelancers
Statistics of experts using Generative AI
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
3 years
Positions per freelancer
11
Top business areas
Information Technology, Project Management, Product Development
Top industries
Professional Services, Information Technology, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
85%
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 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.
- Professional Services (86%)
- Information Technology (79%)
- Banking and Finance (57%)
- Energy (43%)
- Manufacturing (43%)
- Retail (43%)
- Healthcare (36%)
- Tourism (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Generative AI does
Generative AI creates new content from learned patterns in large datasets. It can produce text, images, audio, video and software code, making it useful for customer support, knowledge access, content operations and product features. The field includes foundation models, large language models and multimodal systems.
Common applications
Companies use generative artificial intelligence to improve internal processes and customer-facing products. Typical deliverables include:
- Conversational assistants grounded in company knowledge
- Document extraction, summarisation and classification workflows
- Content, image and code generation features
- Semantic search and retrieval-augmented generation
- Evaluation pipelines for model responses
Models and tooling
The ecosystem covers hosted models such as OpenAI GPT, Anthropic Claude and Google Gemini, alongside open-weight models such as Llama and Mistral. Strong specialists work with Python, APIs, vector databases, embeddings, prompt design and orchestration tools such as LangChain or LlamaIndex. They also understand cloud deployment, data pipelines and observability.
When companies need specialists
Freelance expertise helps when a team must validate an AI use case, connect a model to private data or move a prototype into reliable production. Specialists can define the architecture, select models, prepare evaluation data and establish safeguards. In Austria, they may support regulated industries and collaborate remotely or on site with teams that need clear German and English communication.
What quality looks like
Good results require more than polished prompts. Experienced professionals define measurable acceptance criteria, test factuality and relevance, control access to sensitive data and design fallbacks for uncertain responses. They also account for latency, usage costs, model changes and human review. A strong delivery leaves the company with maintainable integrations, documented decisions and a practical improvement loop.
Adjacent expertise
Generative AI projects often depend on skills beyond model selection. Look for professionals who can combine:
- Data protection, access control and responsible AI practices
- Backend APIs, frontend workflows and cloud infrastructure
- Data cleaning, metadata design and knowledge-base maintenance
- Prompt and context engineering with systematic evaluation
- Product discovery, user testing and change management
The right mix depends on whether the goal is an internal assistant, an automated operation or a new AI-enabled product.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Generative AI.
Generative AI is used to create text, images, audio, video and code from user instructions or structured data. Companies apply it to assistants, document workflows, semantic search, personalised content and software features.
Generative AI can produce a new response rather than only follow fixed rules or retrieve an exact record. It is more flexible than traditional automation, but it needs grounding, evaluation and safeguards because generated output can be incomplete or incorrect.
A strong Generative AI specialist may also work with Python, APIs, cloud services, vector databases, data pipelines and frontend or backend integration. Knowledge of prompt design, retrieval-augmented generation, evaluation and responsible AI is equally important.
Generative AI work should be matched to the project’s risk, data complexity and production requirements rather than a fixed tenure. A focused prototype may need model and workflow expertise, while a customer-facing or regulated system also needs security, evaluation, monitoring and integration skills.
Generative AI projects are often suitable for remote collaboration when data access, review processes and technical documentation are well defined. Austrian companies may still prefer on-site workshops for discovery, stakeholder alignment or work involving sensitive information, while German and English communication can support distributed teams.
A Generative AI freelancer may work with hosted services such as OpenAI GPT, Anthropic Claude or Google Gemini, as well as open-weight models such as Llama and Mistral. The right choice depends on data handling, quality, latency, deployment control and integration requirements.
Assess Generative AI work against representative tasks and agreed criteria for factuality, relevance, safety and consistency. Ask for evaluation methods, failure handling, data protection decisions and evidence that the system remains maintainable when models or source data change.
Before starting with Generative AI, clarify the target users, source data, model constraints, delivery environment and definition of success. Also ask who owns evaluation, security, human review and ongoing maintenance after the initial implementation.
The average hourly rate of freelancers in Austria who have used Generative AI in their recent projects is 110 €, which corresponds to a daily rate of about 877 € 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 85% hold at least a Master's degree.
On average, freelancers in Austria who have used Generative AI in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 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 Spanish (36%).
The most common industries among freelancers in Austria who have used Generative AI in their recent projects are Professional Services (86%), Information Technology (79%), and Banking and Finance (57%).
The most common business areas among freelancers in Austria who have used Generative AI in their recent projects are Information Technology (93%), Project Management (93%), and Product Development (79%).
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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