Artificial Intelligence Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Artificial Intelligence
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.
Karl Forstner
Last position:
ONECEPT Website at ONECEPT GmbH
Development and implementation of the website onecept.at using React/Next.js. Focus on responsive web design, high-performance component structure, basic SEO optimization, and technical deployment.
Technologies: React, Next.js, TypeScript / JavaScript
Marko Agrez
Last position:
Program Lead | Agile Transformation Coach at EnBW
Technologies: Azure DevOps, Jira, Confluence, Office 365 (Teams, PowerPoint, Copilot, Excel, SharePoint, Forms, OneNote, PowerAutomate, Word), DataDog, Conceptboard, Python, AWS, Claude, Perplexity Methodology: Scrum
- Steering and supporting the organization in the rollout of Scrum and in the introduction of a SAFe-inspired, quarterly roadmap and portfolio planning at program level.
- Servant leadership for Scrum teams and managers to achieve quarterly goals and measurably increase value creation for internal and external customers.
- Design and expansion of efficient communication and collaboration structures between multiple development teams and key stakeholders in the organization.
- Facilitation and professional moderation of cross-functional workshops and management meetings to align on shared goals.
- Coaching leaders, Product Owners, and development teams on agile values, role understanding, and scaled ways of working (Scrum, SAFe, Business Agility).
- Removing structural obstacles at team and organization level through targeted impediment management and escalation processes.
- Enabling teams to work with greater self-organization, personal ownership, and end-to-end responsibility across value streams.
- Individual coaching of key people (Product Owners, Chapter Leads, Scrum Masters) to strengthen their impact in the transformation program.
- Organization-wide identification, planning, and implementation of process, structure, and tool improvements to sustainably increase efficiency, throughput, and value creation.
- Close support for Product Owners in stakeholder management, prioritization by business value, product strategy, roadmap planning, and effective collaboration with development teams.
- Introduction, governance, and scaling of Azure DevOps as the central project and product management tool, including coaching the organization on usage, reporting, and alignment at all levels.
Achievements:
- Clear increase in the visibility, transparency, and perceived value creation of the development teams within the overall organization.
- Noticeable improvement in communication between development, business, and other stakeholders.
- Optimization of work processes, workflow, and backlog structures, which reduced lead times, sharpened priorities, and sustainably increased team effectiveness.
Manuel Pasieka
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Mario Mohar
Last position:
Co-Founder and CTO at B2B SaaS Recruiting Platform
Complete build of a B2B SaaS platform for recruitment agencies
- Multi-source job aggregation via ATS APIs
- AI-assisted career page scraping
- Rule-based and AI-assisted matching
- Credit-based monetization model with Stripe integration
- Live in production since July 2026
Tech stack
- NestJS
- React
- PostgreSQL
- pgvector
- Claude AI
- Prisma
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
Daniel Schlager
Last position:
AI Automation in E-Commerce at Looops
- AI automation roadmap for a D2C/B2B e-commerce company.
- Customer service bot with RAG over support tickets and product data, OCR pipeline for incoming invoices with writeback to Business Central, lead gen and posting automation.
- Deterministic n8n workflows with EU-hosted models.
- n8n, RAG / Mistral, Qwen/BGE embeddings / Business Central API, HubSpot, Shopify / Scaleway, S3 / Claude Code, OpenCode.
Christian Stradal
Last position:
Standardization of equipment, software and processes for DACH/SOE region at Neuroth AG
- Scope development and project planning
- Stakeholder management
- Process analysis and adaptation
- Development of reporting structures
- Establishment of joint communication structures
- Training concept
- Order processing and cost tracking
Marcel Steger
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Gabriele Bolek-Fügl
Last position:
Founder and Managing Director at PaiperOne GmbH
- Main tasks and responsibilities: development, acquisition, sales, consulting, and controlling
- Area of work or industry: Software as a Service in AI compliance and consulting
Selection of client projects:
- Creation and operation of an AI governance platform, including training content on the use of AI in companies
- Design, setup, and operation of the ISO 42001 management system at PaiperOne with certification by TÜV
- Auditor according to ISO 17024 at Austrian Standards for the "AI Manager"
- AI training for staff of two Austrian publishing groups
- AI training for the management level at the State of Lower Austria
- AI strategy workshop for a municipality in Styria and a municipality in Salzburg
- AI workshops for the House of Digitalization in Tulln
- AI training for municipalities at KDZ
- Delivery of training on "Certified AI Compliance Officer" at the Academy for Internal Audit
- Organizational consulting on AI governance at ÖGK
- Project support for the "homepage chatbot" at öbv
- Certification exams at Austrian Standards
Nikola Neloski
Last position:
Founder and CEO - Senior Business Analyst at fintechno AI GmbH
- Business analysis
- Requirements engineering
- System design
- Various insurance projects
- Technology stack: msg.Billing (in-/ex-collection)
- Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
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
Walter Sarg
Last position:
Territory Service Manager Red Hat Consulting at Major German Engineering and Technology Multinational Company
- Migrating from VMware to OpenShift Virtualization, 40+ workstreams / projects in parallel (Small- to Medium Sized VM Operators / Critical Factory Workload Owners / Large-Scale Data Center Operators)
Jori Martini
Last position:
Agile IT Manager Healthcare Systems at MA01 Gov. Digital City
- Responsible for managing GMP-critical systems
- Leading a team of 20 professionals
- Vendor management with a €15M annual budget
Shahram Fallahdoust
Last position:
Senior Product Owner at Elderly Neighbour Watch
Delivered a digital, non-profit neighborhood platform to connect older adults with volunteers for practical support and social companionship. Responsible for business analysis, requirement definition, platform evaluation and delivery of a locally scalable service solution focusing on AI-driven enhancements, data-based optimization and clear market positioning. Evaluated several low-code/business platforms including Odoo and Glide Apps and assessed monday.com as a CRM-like option before selecting Glide Apps for implementation. Implemented a non-native mobile and desktop application with Glide Apps and the web presence with WordPress. Tasks
- Gathering, analyzing and structuring business requirements for the product and service model
- Conducting market, target group and competitor analyses to position the offering
- Evaluating and selecting suitable low-code/business platforms for implementation
- Defining core user journeys, business processes and operational workflows for older adults, volunteers and administration
- Translating business requirements into functional requirements for profiles, task management, coordination, communication and notifications
- Guiding the implementation of the non-native mobile and desktop application in Glide Apps as well as the web presence in WordPress
- Preparing the business side for future AI-powered features such as intelligent matching and data-based optimization
- Ensuring compliance with GDPR requirements Results
- Successfully delivered digital support platform connecting older adults with volunteers
- Solid foundation for market positioning through market, target group and competitor analyses
- Delivered a functional non-native mobile and desktop application with Glide Apps and a supporting web presence with WordPress
- Established foundation for scaling and AI-based further development
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
3 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
88%
Master's degree or higher
70%
Doctorate
16%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
99%
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 Artificial Intelligence
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 AI covers
Artificial Intelligence turns data into predictions, classifications, recommendations, and generated content. Companies use it to automate decisions, improve search, detect anomalies, and support users with chat or voice systems. Strong experts connect the model to the business goal, not just the algorithm.
Common work
- Prototype and production AI features
- Train and evaluate machine learning models
- Build NLP and computer vision workflows
- Prepare data, prompts, and model inputs
- Add monitoring, retraining, and guardrails
Tooling and stack
AI work often spans Python, TensorFlow, PyTorch, scikit-learn, and cloud services for storage, training, and deployment. Specialists also work with vector databases, APIs, feature stores, and orchestration tools. The right setup depends on latency, data volume, and how sensitive the use case is.
When to bring in help
Companies bring in freelance AI experts when internal teams need focused support for a product launch, a proof of concept, or a turnaround on a stalled model. In Austria, this often fits firms that need local collaboration for workshops, while the build itself can stay remote. Clear data access and a defined use case matter more than a long kickoff.
What strong experts do
Good AI specialists ask where the model will live, how it will be measured, and what happens when it fails. They can explain trade-offs between accuracy, speed, interpretability, and cost. They also know how to turn a notebook into a stable service that teams can maintain.
Signs you need one
A company usually needs outside AI expertise when the data is messy, the use case is new, or the first prototype works but the production version does not. It also helps when teams must choose between building with large language models, classical machine learning, or a hybrid setup. The best specialists make that choice concrete and testable.
Frequently asked questions
Everything clients usually want to know about Artificial Intelligence, in one place.
Artificial Intelligence is used to automate decisions, classify data, power search, detect fraud or anomalies, and support users with chat or voice features. In many projects it also helps with forecasting and recommendation logic. The best freelancer matches the method to the business problem, not the other way around.
A strong Artificial Intelligence specialist can work across machine learning, rules, language systems, and generated content. Machine learning is usually one part of the wider AI picture, while AI can also include planning, retrieval, and human-in-the-loop design. When you hire, look for someone who understands the full system, not just model training.
No. Artificial Intelligence is the broad field, machine learning is a major subset, and deep learning is a method often used inside it. That matters when you are choosing a freelancer, because some projects need classical models, while others need neural networks or a mix of both.
A good Artificial Intelligence freelancer usually brings Python, data preparation, model evaluation, and deployment know-how. For many projects, you also want experience with API design, cloud services, prompt design, or vector search. The exact mix depends on whether you are building prediction, language, vision, or automation features.
A small proof of concept can work with one strong Artificial Intelligence specialist, but production work usually needs broader experience. You want someone who can handle data quality, testing, monitoring, and model drift. If the project touches customer-facing decisions, choose someone who has shipped and maintained real systems.
Yes, most Artificial Intelligence work can be done remotely if data access and security are set up properly. In Austria, some companies still prefer on-site workshops for discovery, stakeholder interviews, or compliance discussions. A good freelancer should be comfortable with both formats.
Ask for examples of end-to-end work with Artificial Intelligence, not only notebooks or demos. Strong evidence includes clear problem framing, data handling, evaluation methods, and production support. You should also see whether the specialist can explain trade-offs in plain language.
Before you commit to Artificial Intelligence, compare it with rules-based automation, search, analytics, and simpler statistical methods. Many business problems do not need a complex model at all. A good freelancer helps you choose the lightest approach that still solves the task well.
The average hourly rate of freelancers in Austria who have used Artificial Intelligence in their recent projects is 109 €, which corresponds to a daily rate of about 870 € based on an 8-hour working day.
Of the freelancers in Austria who have used Artificial Intelligence in their recent projects, 88% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 16% hold a doctorate.
On average, freelancers in Austria who have used Artificial Intelligence in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Austria who have used Artificial Intelligence in their recent projects are English (99%), German (97%), and French (19%).
The most common industries among freelancers in Austria who have used Artificial Intelligence in their recent projects are Information Technology (86%), Professional Services (45%), and Banking and Finance (41%).
The most common business areas among freelancers in Austria who have used Artificial Intelligence in their recent projects are Information Technology (86%), Product Development (78%), and Project Management (68%).
Main locations of FRATCH Experts, who have recently used Artificial Intelligence
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
