
Artificial Intelligence Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Artificial Intelligence
Garrett T.
Last position:
Transformation Advisor for SAP at Garrett Tedeman, CPA LLC
Independent practice serving clients in SAC-P and AI-enabled FP&A transformation, including financial model development for PE firm engagements, data cleansing with PowerQuery, workflow automation Claude Cowork, SAC-P scoping task-based assignments (Micro1.ai & Mercor.ai), and SAP partner network development.
- 2026 – Completed significant upgrade training for Positioning Business AI and SAP Cloud ALM Workshop (In-Person). Live Demos • SAC-P & Excel-Based Reports • Claude Partner • SAP Partner#: 1961209 (OE – Build)
- Fall 2026 – New effort to re-train/update past FI/CO, SAP BPC, SAP Platform to S/4 Finance & Core G/L Accounting
- 2026 – Upskilling for Transformation Toolchain. In-Person Workshops: Cloud ALM & SAP BTP • Joule Demo(s)
- 2025 – FP&A processes • Datasphere & Business Data Cloud • Team Workshops for AI • Toolchain & SAP Cloud ALM
- 2024 – Built key credentials on Deloitte S4 Experience • Group Reporting and SAC-P
Peter G.
Last position:
Senior IT Project Manager at REWE Group
Datacenter audit and subsequent transformation program
- Initial situation: Following a critical outage, the datacenter was considered the cause. A traditional audit was to be put out to tender.
- My diagnosis: The technical architecture was not the core problem. The key issues were the incident, diagnosis, and recovery processes, as well as a lack of transparency regarding costs and dependencies.
- Impact: The audit was implemented pragmatically in-house. The results and budget foundations became the basis for a multi-year international transformation program. I was then retained as the preferred candidate for a central transformation stream.
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.
Marko A.
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 introducing Scrum and 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.
- Designing and building efficient communication and collaboration structures between multiple development teams and central stakeholders in the organization.
- Moderating and facilitating 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 organizational level through targeted impediment management and escalation processes.
- Enabling teams to become more self-organized, accountable, and end-to-end responsible along the 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, business value prioritization, product strategy, roadmap planning, and effective collaboration with development teams.
- Introducing, governing, and scaling 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 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.
Karl F.
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
Manuel P.
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 M.
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 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
Daniel S.
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.
Patrick J.
Last position:
Business Consultant at Patrick JOBST - Business Consulting & Internet Services
- Procrastination for beginners. The companion for your digital business model.
- Ultimate support for digital strategy, content marketing, search engine optimization, web development, social selling, online courses and consulting from one source.
- Sparring & mentoring for self-employed people, freelancers, entrepreneurs and coaches.
- Website & social media analysis.
Roman M.
Last position:
Software Engineer at FSM Rechtsanwälte
- Develop AWS-based components connecting Python backend services to React/TypeScript frontends.
- Improve database queries and application workflows for document processing and screening.
- Evaluate LLM retrieval and document-review workflows as part of the product stack.
Christian S.
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 S.
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 B.
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
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
2.9 years

Positions per freelancer
11

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Professional Services

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
89%
Master's degree or higher
72%
Doctorate
13%

Certifications per freelancer
3

Most common languages
English, German, French

Speak two or more languages
98%
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Artificial Intelligence 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 (84%)
- Banking and Finance (45%)
- Professional Services (44%)
- Manufacturing (41%)
- Education (34%)
- Retail (33%)
- Healthcare (32%)
- Media and Entertainment (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Artificial Intelligence covers
Artificial Intelligence enables software to interpret data, recognise patterns, generate content and support decisions. It includes machine learning, deep learning, natural language processing, computer vision, recommendation systems and generative AI. Professionals turn these methods into useful products rather than isolated model experiments.
Products and use cases
Companies use AI to improve customer interactions, automate document work and forecast demand. Typical deliverables include:
- Predictive models for sales, maintenance and risk workflows
- Chatbots, search assistants and retrieval-augmented applications
- Image analysis for inspection, medical support and quality control
- Recommendation and personalisation engines
Ecosystem and tooling
An AI project can involve Python, PyTorch, TensorFlow, scikit-learn, Hugging Face and managed cloud services. Strong specialists also work with vector databases, APIs, notebooks, data pipelines, model registries and monitoring tools. They select components according to data quality, latency, security and operating cost instead of treating one framework as a universal answer.
When freelance expertise helps
External expertise is useful when a team needs to validate an AI use case, prepare data or move a prototype into production. Companies also bring in specialists when internal teams lack experience with model evaluation, prompt design, deployment or responsible AI practices. In Austria, remote collaboration can work well across product and data teams, while on-site workshops may help with complex processes and stakeholder alignment.
What strong professionals deliver
Experienced AI specialists clarify the business decision before choosing a model. They establish reliable data sets, meaningful evaluation criteria and a clear path from experiment to maintained service. They explain uncertainty, document assumptions and address privacy, security, bias and human oversight. Their work includes reproducible pipelines, tested integrations and monitoring for model drift.
Questions to resolve early
Before starting, define the users, available data, success criteria and operational constraints. Check whether a rules-based workflow, conventional analytics or an off-the-shelf model may be enough. A capable professional can compare these options, estimate the delivery risks and identify the smallest useful proof of value. They can also set up knowledge transfer so the team can operate and improve the solution after handover.
Frequently asked questions
Everything clients usually want to know about Artificial Intelligence, in one place.
Artificial Intelligence is used for tasks such as forecasting, document classification, fraud detection, conversational support, search, recommendations and image analysis. The right approach depends on the available data, the decision being improved and the level of automation that is safe.
AI learns patterns from examples or uses generative models, while traditional software follows explicitly defined rules. Data analytics usually explains what happened or what may happen; an AI system can also classify inputs, generate responses or take part in an operational workflow.
A strong Artificial Intelligence specialist often combines statistics, Python, data engineering, cloud deployment and API design. Depending on the project, useful adjacent skills include MLOps, prompt engineering, vector search, cybersecurity, user research and domain knowledge.
AI projects need different levels of expertise depending on their risk, data quality and production scope. A prototype may need focused model and data work, while a customer-facing or regulated system also requires evaluation, monitoring, security, documentation and reliable integration.
Artificial Intelligence work is often suitable for remote collaboration because data, code and cloud environments can be shared securely. On-site workshops in Austria can still be valuable when specialists need to understand internal processes, sensitive data handling or requirements from several business teams.
AI projects benefit from a clear problem statement, access to representative data and agreed evaluation criteria. Austrian companies should also discuss language needs, data residency, privacy controls and whether the specialist can work with local teams in English or German.
A capable Artificial Intelligence professional explains trade-offs instead of promising perfect predictions or outputs. Review how they test data quality, compare a baseline, measure errors, protect sensitive information and monitor the system after launch.
A well-scoped AI engagement can include a data assessment, solution design, working prototype, evaluation report and production integration. For a lasting result, ask for documented pipelines, model or prompt configuration, monitoring guidance, runbooks and knowledge transfer to the internal team.
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 874 € based on an 8-hour working day.
Of the freelancers in Austria who have used Artificial Intelligence in their recent projects, 89% hold at least a Bachelor's degree, 72% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Austria who have used Artificial Intelligence in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers in Austria who have used Artificial Intelligence in their recent projects are English (99%), German (96%), and French (21%).
The most common industries among freelancers in Austria who have used Artificial Intelligence in their recent projects are Information Technology (84%), Banking and Finance (45%), and Professional Services (44%).
The most common business areas among freelancers in Austria who have used Artificial Intelligence in their recent projects are Information Technology (86%), Product Development (76%), 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.
Countries:
- Germany
- Austria
- Switzerland
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