
Artificial Intelligence Experts in Vienna
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Meet FRATCH Experts in Vienna, 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.
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.
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
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
Walter S.
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)
Axel M.
Last position:
Interim HR Lead Transformation – International E-Commerce & Logistics Environment at Inpact HR (Interim Management)
- Organizational Design: Strategic realignment of the organizational structure to increase operational excellence and prepare for a scaled shared service model.
- Tech-Driven HR Transformation: Supporting process optimization through the integration of modern automation solutions and AI-powered tools to increase efficiency in workforce management.
- Strategic Change & Rightsizing: Design of a change-management framework to align personnel resources with a new, centralized steering model.
Marc-Anthony T.
Last position:
Software Developer at Dawnguard.AI
- Foundational member of the backend TypeScript team, responsible for translating the initial product concept into a fully functional platform.
- Architected the core resource discovery engine for Azure and AWS, successfully enabling the frontend to visualize complex cloud environments and empowering the AI to evaluate architectural patterns.
- Engineered and scaled distributed APIs and dynamic CosmosDB schemas, ensuring the database and backend architecture could seamlessly adapt to rapidly evolving product requirements.
- Accelerated cross-functional testing by developing custom data-generation tools, allowing the AI and frontend teams to simulate and test against large-scale, artificial cloud architectures.
- Drove end-to-end feature delivery by partnering closely with AI, frontend, and business stakeholders to align technical implementation with the strategic vision of the Dawnguard platform.
André L.
Last position:
Founder & Managing Director at lesswork Productivity Solutions e.U.
- Design and deploy production multilingual AI voice-agent solutions for customer service, lead capture, after-hours support and front-office automation use cases.
- Delivered three client implementations spanning Europe, Asia and North America, including multilingual support, sales/lead-capture and privacy-sensitive intake workflows.
- Translate business requirements into conversation flows, prompt architecture, knowledge grounding, fallback and handoff logic, guardrails, consent gates and structured data capture; production support deployments include knowledge bases of approximately 1,000 grounded Q&A entries per language.
- Build scenario-based evaluation and regression QA covering normal flows, edge cases, failure modes, handoff behaviour and acceptance criteria; coordinate fixes through production readiness and rollout.
- Work hands-on across Retell, ElevenLabs Agents, Twilio, Supabase/PostgreSQL, Vercel, APIs/webhooks and CRM workflows; lead discovery, demos, solution shaping and cross-functional delivery.
Sector: AI voice automation / customer workflow design
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
21 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
92%
Master's degree or higher
75%
Doctorate
13%

Certifications per freelancer
3

Most common languages
English, German, French

Speak two or more languages
99%
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 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 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 (83%)
- Banking and Finance (46%)
- Professional Services (45%)
- Manufacturing (38%)
- Education (36%)
- Healthcare (35%)
- Media and Entertainment (33%)
- Transportation (32%)
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, learn patterns and support decisions or actions. It includes machine learning, deep learning, natural language processing, computer vision, recommendation systems and generative AI. Companies use it to create intelligent products, automate complex work and improve how people interact with software.
Products and use cases
AI specialists deliver systems that connect models with real operational needs. Common applications include:
- Predictive maintenance and demand forecasting
- Document processing, search and knowledge assistants
- Fraud detection, personalisation and recommendations
- Image analysis for manufacturing, health and mobility
- Generative AI features for text, code and support
Ecosystem and tooling
The work spans Python, PyTorch, TensorFlow, scikit-learn and transformer libraries such as Hugging Face. Experts also work with notebooks, data pipelines, vector databases, model APIs and cloud services. Production delivery requires evaluation, experiment tracking, deployment automation, monitoring and controls for privacy, security and model quality.
When companies hire specialists
Companies bring in freelance AI professionals when they need to validate a use case, prepare data or move a promising prototype into production. They may need support integrating an existing model with internal systems, improving inference costs or establishing a practical evaluation process. In Vienna, domain knowledge and clear communication can help teams coordinate across local and remote stakeholders.
Skills that distinguish strong experts
Strong professionals connect modelling choices to measurable business outcomes. They ask how data was collected, identify leakage and bias, define useful test sets and explain uncertainty to non-specialists. They can choose between a hosted model, an open-source model or a simpler rule-based approach, then document trade-offs and operational risks.
Collaboration and delivery
A reliable engagement starts with a clear problem statement, accessible data and agreed success criteria. Good specialists work closely with product, software, security and subject-matter teams, while keeping ownership of datasets, prompts, model versions and evaluation results clear. Remote collaboration works well when documentation, review routines and access arrangements are established early.
Frequently asked questions
Quick answers to the questions that come up most around Artificial Intelligence.
Companies use Artificial Intelligence for prediction, classification, search, automation, recommendations and content generation. The right application depends on the available data, the required level of accuracy and how closely the result must connect to existing workflows.
Artificial Intelligence learns patterns from data, while traditional automation usually follows rules written in advance. AI is useful when inputs are varied or difficult to describe precisely, but rule-based software can be more transparent and dependable for stable processes.
A strong Artificial Intelligence specialist often combines statistics, Python, data engineering and software delivery skills. Depending on the project, useful adjacent knowledge includes cloud infrastructure, MLOps, prompt design, cybersecurity, product discovery and a relevant industry domain.
The right level of Artificial Intelligence experience depends on the work, not simply on a résumé label. A prototype may need strong modelling and data skills, while a production system also requires deployment, monitoring, governance and the ability to handle failures.
Yes, Artificial Intelligence work is often well suited to remote collaboration because data preparation, modelling and evaluation can be documented and reviewed online. On-site workshops in Vienna can still help with discovery, stakeholder alignment and access to sensitive systems.
Ask an Artificial Intelligence professional to explain the data assumptions, baseline, evaluation method and likely failure cases behind a past project. Strong answers show practical trade-offs, reproducible testing and a clear plan for monitoring the system after launch.
Generative AI is a branch of Artificial Intelligence suited to producing or transforming text, images, audio or code. It works best when outputs can be evaluated with clear criteria and reviewed where errors, fabricated content or inconsistent results would create risk.
Before hiring an Artificial Intelligence specialist, agree on the business objective, data access, system boundaries, evaluation criteria and ownership of the resulting assets. Also clarify whether the project may use external model services and how sensitive information will be protected.
The average hourly rate of freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects is 110 €, which corresponds to a daily rate of about 882 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects, 92% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects are English (99%), German (96%), and French (22%).
The most common industries among freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects are Information Technology (83%), Banking and Finance (46%), and Professional Services (45%).
The most common business areas among freelancers in Vienna, Austria who have used Artificial Intelligence in their recent projects are Information Technology (86%), Product Development (74%), and Project Management (70%).
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:
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