Artificial Intelligence Experts in Vienna
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Meet FRATCH Experts in Vienna, 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.
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.
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
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
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
Alexander Lechner
Last position:
Guest lecturer in Artificial Intelligence (Master’s Level) at FH des BFI Wien
- Teaching & presenting
- Communication
- Effectively communicate complex technical topics to non-technical audiences through lectures
- Guided non-technical students from zero knowledge to confidently understanding and applying algorithms to achieve business outcomes
Fabio Galvagni
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Matthias K.
Last position:
Business Architect at E5GTEC
- Analysis of extended requirements related to existing controllers in an industrial plant
- Creating concepts for storing and visualizing sensor data
- Communication with PLCs
- Microservice architecture
- Unified architecture
- AI-based evaluations of sensor data
- Technologies used: .NET 8, Minimal API, Postgres, MQTT, RabbitMQ
Frank Welk
Last position:
Software Development at REI and EMI
- Code review, bug fixing, and new development of program code in PL/SQL and Oracle Forms
- Migration of the database version to Oracle 12/19 and migration of the Oracle Forms environment from client-server to web (6i → 12c)
- Fixing blocking sessions and implementing new workflow requirements
- Use of PL/SQL packages, procedures, functions, database triggers, batch files, and Java applications
- Revision of screen masks based on Oracle Forms and client-side PL/SQL code
- Business handling of issuing and processing vouchers (REI = Reimbursement; EMI = Emission), including billing with acceptance partners
- Agile development based on SCRUM with monthly sprints and weekly coordination meetings
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
3.1 years
Positions per freelancer
9
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, Business Intelligence
Bachelor's degree or higher
89%
Master's degree or higher
71%
Doctorate
16%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
98%
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 Vienna 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 Vienna 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 it covers
Artificial Intelligence covers systems that learn from data, reason over patterns, and automate decisions or content generation. Companies use it for search, forecasting, recommendations, document processing, chat assistants, and workflow automation. It also appears in products that need vision, speech, or anomaly detection.
Core stack
- Python, TensorFlow, PyTorch, and scikit-learn
- LLMs, prompt design, RAG, and vector databases
- Data preparation, feature work, and model evaluation
- Cloud deployment, APIs, and monitoring
- MLOps, versioning, and retraining loops
Common use cases
Artificial Intelligence projects often start with a business process that is slow, manual, or hard to scale. Strong professionals turn that process into a model, a service, or a copilot-style feature that fits the product.
When to bring in freelancers
Companies bring in freelance specialists when internal teams need extra depth for a new model, a proof of concept, or a rollout into production. This is common when existing systems need better prediction, text understanding, or automation without rebuilding the full stack.
What strong experts do
Good specialists do more than train a model. They define the data needs, test quality, watch for bias and drift, and make sure the result fits the real use case. They also know how to explain trade-offs clearly to product, data, and engineering teams.
Vienna context
In Vienna, Artificial Intelligence work often touches research-heavy products, enterprise software, finance, mobility, and public-sector services. Many projects work well with remote experts, but on-site collaboration can help when the team needs fast workshops, domain access, or closer alignment with German- and English-speaking stakeholders.
Frequently asked questions
Quick answers to the questions that come up most around Artificial Intelligence.
Companies hire Artificial Intelligence specialists to build systems that predict, classify, recommend, search, or generate text and other content. The work often includes model selection, data preparation, prompt design, evaluation, and deployment into a live product. In Vienna, this can sit inside enterprise tools, customer service systems, or research-driven products.
Artificial Intelligence is the broader field; machine learning is one part of it. AI also includes rule-based systems, reasoning, planning, and language-based assistants, while machine learning focuses on models that learn from data. When you hire, make sure the expert has experience in the specific approach your project needs, not just the label.
Generative AI is a subset of Artificial Intelligence focused on creating text, images, code, or other outputs. It is often built with large language models, retrieval systems, and careful guardrails. If your project is about chat, knowledge access, or content generation, ask for direct experience with GenAI, LLMs, and RAG.
A strong Artificial Intelligence specialist usually also understands data engineering, API design, cloud infrastructure, and testing. For production work, MLOps and monitoring matter too, because a model must keep working after launch. For language-heavy use cases, experience with prompt design and evaluation is especially useful.
Artificial Intelligence projects need different levels of depth depending on the risk and scope. A prototype may need one specialist who can move fast, while a production system needs someone who can handle data quality, model evaluation, deployment, and governance. The more the project affects customers or operations, the more important proven delivery becomes.
Yes, Artificial Intelligence work is often remote-friendly because many tasks happen in notebooks, cloud services, and shared product tools. On-site time in Vienna can still help for workshops, access to internal stakeholders, or discussions around sensitive data and domain context. A hybrid setup is often the most practical choice.
With Artificial Intelligence, look for concrete delivery, not just theory. Ask for examples of shipped systems, how they handled data issues, how they measured quality, and how they dealt with failure modes such as hallucinations or drift. Clear communication matters as much as model knowledge, especially when the work touches product and operations.
A good Artificial Intelligence freelancer should understand the goal, the available data, the success criteria, and the constraints around privacy or deployment. They should also know whether the work is research, a prototype, or production support, because each one needs a different approach. In Vienna, English is often enough for delivery, but German can help with stakeholder workshops and local documentation.
The average hourly rate of freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects is 109 €, which corresponds to a daily rate of about 875 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects, 89% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 16% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 3.1 years.
The most common languages among freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects are English (98%), German (96%), and French (20%).
The most common industries among freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects are Information Technology (82%), Professional Services (47%), and Banking and Finance (37%).
The most common business areas among freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects are Information Technology (82%), Product Development (75%), and Project Management (69%).
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.
Countries:
Vienna 
Graz Request a free demo
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Philipp Thomaschewski
FRATCH CEO
