Generative AI Experts in Vienna
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Meet FRATCH Experts in Vienna, 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.
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
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.
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
23 years
Position duration
2.2 years
Positions per freelancer
12
Top business areas
Information Technology, Project Management, Product Development
Top industries
Information Technology, Professional Services, Retail
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
90%
Certifications per freelancer
3
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 Vienna 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 Vienna 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.
- Information Technology (90%)
- Professional Services (80%)
- Retail (60%)
- Banking and Finance (50%)
- Healthcare (50%)
- Energy (40%)
- Food and Beverage (40%)
- Manufacturing (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Generative AI architectures and foundation models
Generative AI encompasses foundation models, multimodal transformers, and probabilistic systems capable of synthesizing text, code, imagery, and audio. Projects often utilize open-weight systems like Llama and Mistral alongside commercial foundation APIs from OpenAI or Anthropic. Specialists structure prompts, orchestrate multi-step reasoning, and establish token budgets for reliable behavior.
Core tooling, orchestration, and vector storage
Production implementations rely on robust orchestration layers and semantic search infrastructure to connect models to enterprise data.
- Orchestration using LangChain, LlamaIndex, and Semantic Kernel
- Vector databases including Qdrant, Milvus, Weaviate, and pgvector
- Model serving with vLLM, Ollama, and Triton Inference Server
- Parameter-efficient fine-tuning via LoRA and QLoRA on PyTorch
- Evaluation frameworks like Ragas and prompt telemetry via TruLens
Retrieval-augmented generation and autonomous agents
Practical applications center heavily on retrieval-augmented generation to ground model outputs in private documentation. GenAI specialists design hybrid search pipelines combining dense embeddings with sparse keyword scoring, re-ranking stages, and contextual chunking. They also implement agentic workflows with structured function calling, allowing autonomous execution of complex API interactions.
Enterprise use cases across Vienna and Central Europe
Vienna serves as a regional hub for banking, insurance, public sector administration, and industrial logistics. Organizations across Austria require targeted GenAI workflows for automated compliance screening, bilingual customer support, internal knowledge management, and contract analysis, demanding strict adherence to European data privacy standards.
When organizations bring in outside GenAI specialists
Companies typically engage external specialists when transitioning experimental prototypes into resilient production systems.
- Overcoming retrieval hallucinations and context window degradation
- Implementing on-premise model hosting for proprietary internal data
- Designing guardrails, moderation filters, and schema-enforced JSON outputs
- Accelerating time-to-market for intelligent search and internal workflow tools
Qualities of exceptional Generative AI professionals
Distinguished professionals look beyond simple API integration. They understand latency constraints, model distillation, quantization techniques like AWQ, and system-level caching. Crucially, they introduce systematic regression testing and quantitative benchmarking for non-deterministic model outputs, ensuring consistent quality in production.
Frequently asked questions
Key details about Generative AI, drawn from the questions we get asked most.
Specialists in Generative AI primarily build contextual enterprise search systems, semantic document processors, code generation assistants, and automated multi-agent workflows. They also fine-tune open-source models on domain data to reduce dependency on proprietary APIs.
While classical machine learning focuses on classification, regression, and pattern identification on structured tables, GenAI synthesizes novel, high-dimensional content such as unstructured text, images, and software code. It leverages broad foundation models rather than training single-purpose models strictly from scratch.
A capable generative artificial intelligence professional possesses strong foundations in Python, vector database design, API engineering, and cloud infrastructure on AWS, Azure, or GCP. Experience with data pipeline orchestration, containerization via Docker, and classical NLP tokenization is equally critical.
Yes, many organizations in Vienna prefer self-hosted open-weight architectures to comply with strict governance standards like the EU AI Act and GDPR. An experienced Generative AI specialist can deploy optimized inference engines like vLLM on local GPU clusters or private European clouds.
Professionals minimize hallucination rates by implementing advanced Generative AI retrieval patterns, including re-ranking, source attribution, and contextual compression. They also enforce deterministic JSON output schemas and run automated evaluation suites against grounded factual references.
Most GenAI initiatives operate smoothly under hybrid or fully remote arrangements. However, an on-site presence in Vienna is frequently requested during initial technical discovery, architecture reviews, or when handling air-gapped internal data environments.
Evaluate their portfolio on how they handle latency, context size limits, cost management, and output evaluation. A seasoned generative artificial intelligence expert should easily discuss prompt regression testing, synthetic data generation, and fallback strategies for model downtime.
Fine-tuning is appropriate when teaching a model a specialized tone, a proprietary syntax, or a repetitive structured output format that standard in-context learning cannot reliably achieve. In contrast, standard Generative AI tasks involving external enterprise knowledge are usually handled more flexibly and cheaply with retrieval-augmented generation.
The average hourly rate of freelancers in Vienna, Austria who have used Generative AI in their recent projects is 116 €, which corresponds to a daily rate of about 930 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Generative AI in their recent projects, 100% hold at least a Bachelor's degree and 90% hold at least a Master's degree.
On average, freelancers in Vienna, Austria who have used Generative AI in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Vienna, Austria who have used Generative AI in their recent projects are German (100%), English (100%), and Spanish (50%).
The most common industries among freelancers in Vienna, Austria who have used Generative AI in their recent projects are Information Technology (90%), Professional Services (80%), and Retail (60%).
The most common business areas among freelancers in Vienna, Austria who have used Generative AI in their recent projects are Information Technology (100%), Project Management (100%), and Product Development (80%).
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.
Countries:
Vienna 
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