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Artificial Intelligence Experts in Munich

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Hire experts who design machine learning models, generative AI applications and reliable MLOps workflows. FRATCH connects you quickly and precisely with vetted, available freelancers for your Artificial Intelligence project.

Meet FRATCH Experts in Munich, who have recently used Artificial Intelligence

Verified expert

Roland C.

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Interim AI Manager: AI Strategy · AI Use Cases · Change Management

Munich
Roland C.

Last position:

Founder, Agents in Everyday Business at CXO AI OS

CXO AI OS is an agent system made up of six components. Instead of using AI as a chat window, it creates a system that understands a company’s context, makes decisions according to its rules, and acts on its behalf.

  • For mid-sized companies: a guided sprint followed by ongoing operations for a team, department or prioritized cluster, based on an AI assessment
  • For self-employed professionals: a program where participants build their own agent system
  • Sequence in the company: assessment, prioritization, sprint, operations
  • Implementation in Claude Cowork or ChatGPT Work, without coding
  • Architecture: Chief of Staff, Goals, Advisors, Agents, Context, Catalog
Verified expert

Paul W.

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Enterprise & Solution Architect · Senior IT Program Manager Freelance IT Consultant — SAP · Salesforce · Cloud · AI/Agentic

München
Paul W.

Last position:

Enterprise Architect at ePrimo GmbH

Led the end-to-end integration and migration architecture for decommissioning SAP IS-U market communication and transitioning to Salesforce Marketing Cloud (SFMC) with E.ON IT Services — covering regulated EDIFACT market messaging, a three-phase data migration (transfer of market message inventory after cutover), redesign of market communication processes, and full GDPR and German energy-market compliance.

  • Designed the three-tier target architecture (SAP IS-U → NScale B2B gateway → SFMC) processing 50,000–100,000 EDIFACT messages daily within sub-5-minute SLAs.
  • Architected the three-phase data migration: 36 months of historical data, zero-loss cutover of in-flight market messages, and near-real-time CDC synchronization.
  • Delivered secure, BDEW/GDPR-compliant integration (AS2/OFTP2, RFC/IDoc, REST APIs, OAuth 2.0, Azure AD, AWS S3) achieving >99.5% uptime, <0.1% migration discrepancy, and RTO <4 hours.
  • Applied BPMN to model and optimize the market communication processes.

Technologies: SAP IS-U, NScale, Salesforce Marketing Cloud, EDIFACT, OAuth 2.0, Azure AD, AWS S3, BPMN, Jira, Confluence, Draw.io

Verified expert

Marco S.

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IT Interim Manager | Interim CIO | Transformation Lead | IT Project Manager & Program Manager | Digital Advisory Board Member

Grünwald
Marco S.

Last position:

IT Interim Manager & Digitalization Consultant at paarprojekt GmbH

  • Project management and consulting services with a focus on IT interim management: digitalization of corporate management, including processes and applications
  • Assessment of the entire IT infrastructure, including applications, core processes and contracts, including cost optimization
  • Evaluation and implementation of solutions to promote digitalization in the company in the areas of property management, CRM, invoice review and approval processes, smart metering, DMS and time tracking
  • Digitization of file folders and introduction of SharePoint and Microsoft Teams as central document and communication platforms
  • Design and delivery of an AI workshop, including the rollout of AI tools to increase efficiency and transparency in key business processes
  • Preparation of training materials and delivery of user training for newly introduced digital processes and solutions
Verified expert

Karen M.

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Senior .NET Backend Engineer | Applied AI | Agentic Systems, RAG & Distributed Architecture

Munich
Karen M.

Last position:

Personal AI Engineering Project — Croky AI at Crocky AI

Product:

  • Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
  • Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
  • Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
  • Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
  • Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.

Agent Orchestration & RAG Systems

  • Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
  • Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.
Verified expert

Yulia V.

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Transformation | TMO / PMO | Value Creation & Portfolio Management | Strategy Execution

Munich
Yulia V.

Last position:

Independent Advisor - Strategy, Transformation & AI at JV Advisory

Independent advisory practice for strategy, organisational transformation, M&A / investor work and AI/data-enabled change.

  • Short-term diagnostic and problem-solving mandates: rapid strategic and organisational assessments for leadership teams and Boards, translated into recommendations and transformation roadmaps.
  • Organisational redesign and AI governance for an international group of approximately 1,500 employees: structure, mandates, decision rights and interfaces; AI-readiness and data-maturity assessment; vendor evaluation and selection; capability building.
  • Design of a centralised Strategy Execution / Results Delivery Office for an industrial client: mandate, governance, portfolio steering, KPI logic, decision forums and implementation roadmap.
  • Selected part-time mandate with SPARS GmbH (as a Business Development and Investments Director): developed M&A pipelines, assessed targets for strategic fit and synergy potential, led commercial due-diligence workstreams and investor / partner engagement.
Verified expert

Jan F.

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Senior IT Project Manager & Business Epic Owner

Munich
Jan F.

Last position:

Business Epic Owner – Central Master Data for Business Customers at Telco Group (B2B / Enterprise IT Services)

Overall business responsibility for a program-wide initiative to create a central, authoritative data foundation for business customer master data (contacts and locations) within an IT service management transformation program.

  • Managed the Epic portfolio from exploration through launch; prioritization and quarterly planning in a SAFe environment
  • Aligned business units, architecture, and IT delivery around a shared vision and clear rules for data ownership (Data Governance)
  • Prepared and secured scope and key decisions with program leadership, including deliberate descoping
  • Managed risks, dependencies, and escalations; reported to program leadership and the PMO
  • Developed the 2027 roadmap as a basis for budget and portfolio planning

Result: a clear MVP scope, key decisions made, and a 2027 roadmap. The program continued after handover without any loss of knowledge.

Verified expert

Elisabeth W.

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COO / Chief Transformation Officer in Consumer Goods

Munich
Elisabeth W.

Last position:

Executive Advisor | Business Potential & Strategy Implementation & Managing Partner at Wesse Consult

European business consultancy helping consumer goods and FMCG companies unlock untapped potential, define winning strategies, and execute with precision and measurable impact.

  • Analyzing business challenges with ~20% effort to drive ~80% output, ensuring clear priorities, structures and actionable recommendations that deliver rapid, measurable results.
  • Driving holistic Operations and business transformation, cost efficiency, customer focus, go-to-market strategy and KPI-driven performance.
  • Acting as a trusted C-Level advisor and sparring partner to turn strategy into measurable results; helping CEOs, founders and leadership teams in businesses of all sizes to strengthen growth and profitability.
Verified expert

Martin R.

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Interim & Fractional CTO / CIO | Private Equity | Tech Due Diligence & Security | Trusted Advisor

Poing
Martin R.

Last position:

Fractional CIO - IT Carve-out & Post-Merger Integration at XTRONIC GmbH & iinovis GmbH (Accursia Capital)

Carve-out and post-merger integration of two automotive engineering companies under Accursia Capital, 6 locations in Germany and Spain, 250+ employees after the carve-out. Reporting directly to the investor, with overall IT responsibility for both companies.

  • Consolidation of the ERP landscape into one instance (replacement of SAP legacy)
  • TISAX certification
  • M365, identity and data center migration
  • Replacement of end-of-life infrastructure
  • Weekly investor reporting

Results:

  • Critical infrastructure risk eliminated, backup and platform stabilized
  • One IT organization established for both companies
  • Weekly investor reporting successfully established
Verified expert

Hachem S.

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Machine Learning & BI Lecturer

Munich
Hachem S.

Last position:

Machine Learning & BI Lecturer at EU Business School

  • Taught ML, BI, and Big Data to Master's students.

Tech: Python, Power BI, SQL, ML, SnowflakeDB, databricks, MS Fabric, MongoDB, LLM

Verified expert

Peer W.

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Co-Founder

München
Peer W.

Last position:

Co-Founder at shopconsulting.ai

  • Set up backend assistants, prompt engineering, customer communication, growth strategy

  • Successful implementation of AI shopping assistants e.g. Thalgo.de

Verified expert

Benjamin W.

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Senior IT-Procurement Consultant

München
Benjamin W.

Last position:

Senior IT-Procurement Consultant at Kolbenschmidt Pistons Germany

  • IT Sourcing & Carve-out: RFP management for IT client hardware and services as part of the Rheinmetall carve-out.
  • Contract Management: Drafting of MSAs and SOWs taking into account AVB, BVB and LSA as well as Service Delivery Contracts.
  • Vendor Transition: Strategic transition management to replace legacy contracts and establish new supplier relationships.
  • SaaS Procurement: Negotiation of SaaS license agreements based on TCO and cost-effectiveness analyses.
  • KPI: On-time transition of all 12 global group contracts, achieving 18 % cost savings on the IT hardware basket and 20 % cost avoidance for SaaS licenses – measured against the critical carve-out project plan and achieved through structured transition management.
Verified expert

Wolfgang T.

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Senior Project Manager and Requirements Manager/Business Analyst

Unterhaching
Wolfgang T.

Last position:

Overall Project Manager at itzbund

Project overview: The use of “Generative Pretrained Transformer” (GPT) technologies will greatly change the world of work in the coming years. ITZBund is developing a basic service for this purpose, which can be used by its 200 customers. This basic service is offered both on-premises and in the cloud. Launched in 12/23, production systems (based on the MVP) had already been successfully rolled out and operated for several authorities and federal ministries by 05/24.

Project metrics:

  • 2024 budget approx. 20 Mio €
  • approx. 70 people directly involved in the project
  • regular (indirect) contact with approx. 80 people in the wider project environment

My main responsibilities:

  • Overall responsibility as external project manager
  • Project definition phase/ Project setup and establishment of the project organization
  • Strategic and operational project planning, as well as project design and ongoing adjustments
  • Ongoing coordination with the project owner and stakeholders at ITZBund
  • Ongoing coordination with sub-project managers, agile roles, and other project team members
  • Responsibility for project controlling, quality management, risk management, and change management
  • Responsibility for providing the basic service in on-premises and cloud environments and its ongoing development
  • Planning and leading several hypercare phases
  • Collaboration and ongoing coordination with a federal ministry partner project and delivery of an MVP
  • Coordination with the agile teams
  • Coordination with operations, release, and deployment
  • Responsibility for delivering initial customer projects
  • Responsibility for developing AI governance
  • Ensuring accessibility (BITV)
  • Responsibility for setting up a sub-project for marketing activities
  • Support in setting up an efficient proposal process
  • Stakeholder management

Approach:

  • V-Modell XT ITZBund
  • Scrum

Tools used:

  • Microsoft Office, Skype, MS Project, Confluence, Jira, Sharepoint, Miro
Verified expert

Christian B.

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Freelance Product Owner | Product Manager

Munich
Christian B.

Last position:

Digital Product Manager | Product Ownership & AI-assisted Implementation at privadent GmbH

Re-engaged to own two product streams end to end, from concept and UX design through to AI-assisted implementation.

  • Redesigned the offer and follow-up journey across 38 insurance plans, 16 providers, and four age segments, spanning web, WhatsApp, email, and SMS.
  • Launched the rebuilt conversion flow in a live A/B test against the legacy version - evaluation still in progress.
Verified expert

Kai Z.

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Enterprise Program & Transformation Management Governance • Delivery • Business & Technology Alignment

München
Kai Z.

Last position:

Enterprise Program Manager / Program Lead at YouGov Consumer Panel Services

The program supports the comprehensive realignment of the German Consumer Panel Services business. It combines a significant panel boost with the reprocessing of historical data and the integration of new receipt data. By significantly expanding and stabilizing the panel with the involvement of external partners, the aim is to improve the validity of the data base and create a reliable foundation for methodology, weighting and customer reporting. At the same time, historically grown processes for data delivery, OCR, matching, item QC, methodology and reporting are being harmonized, further developed technologically and reorganized. The goal is a scalable end-to-end landscape with higher data quality, clear responsibilities, reliable governance and sustainably manageable operational processes.

  • Overall management of the restatement program, including the integrated roadmap as well as milestones, dependencies, risks and management decisions.
  • Coordination of the panel boost and alignment of the required data deliveries, quality requirements and prerequisites for methodology, weighting and reporting.
  • Alignment of business, product, data science, technology, operations and external partners around a shared target picture, aligned priorities and an integrated approach.
  • Design of the organizational change triggered by the fundamental realignment of the data base, methodology and management logic, which has a lasting impact on established decision-making and collaboration patterns.
  • Establishment and further development of governance, reporting and escalation structures as well as program-wide monitoring and operational processes for reliable management and sustainable handover.
  • Management of critical data, technology and provider dependencies, including reprocessing, OCR transition and the timely synchronization of delivery, testing, methodology and reporting.
  • Orchestration of international collaboration with teams and stakeholders in Germany, the United Kingdom, Portugal and Romania, as well as with external suppliers in Germany and Austria.

Impact Areas and Expertise: Program & Delivery Leadership, Business & Technology Alignment, Organization & Transformation, Governance & Sustainable Operations, Strategy & Target, Methodic Leadership, Transformation & Change Leadership, Executive Advisory

Discover over 15,000 top freelancers

Statistics of experts using Artificial Intelligence

Aggregated from the professional profiles of matched freelancers.

Experience

19 years (Germany: 18 years)

Artificial Intelligence experts in Munich have 19 years of professional experience on average. It is 1 year more than in Germany, where the average stands at 18 years.

Position duration

3 years (Germany: 3.1 years)

Artificial Intelligence experts in Munich stay in a single position for 3 years on average. It is 0.1 years less than in Germany, where the average stands at 3.1 years.

Positions per freelancer

11 (Germany: 10)

Artificial Intelligence experts in Munich have completed 11 positions on average over the course of their careers. It is 1 more than in Germany, where the average stands at 10.

Top business areas

Information Technology, Product Development, Project Management

Artificial Intelligence experts in Munich have gathered most of their hands-on project experience in Information Technology, Product Development, and Project Management.

Top industries

Information Technology, Professional Services, Automotive

Artificial Intelligence experts in Munich are most in demand in Information Technology, Professional Services, and Automotive.

Certification focus areas

Information Technology, Project Management, Product Development

Artificial Intelligence experts in Munich earn their certifications most often in Information Technology, Project Management, and Product Development.

Bachelor's degree or higher

96% (Germany: 93%)

96% of Artificial Intelligence experts in Munich hold at least a Bachelor's degree. It is 3% higher than in Germany, where the rate stands at 93%.

Master's degree or higher

75% (Germany: 64%)

75% of Artificial Intelligence experts in Munich hold at least a Master's degree. It is 11% higher than in Germany, where the rate stands at 64%.

Doctorate

12% (Germany: 10%)

12% of Artificial Intelligence experts in Munich have a doctorate (PhD). It is 2% higher than in Germany, where the rate stands at 10%.

Certifications per freelancer

3

Artificial Intelligence experts in Munich hold 3 professional certifications on average.

Most common languages

English, German, French

Artificial Intelligence experts in Munich most often speak English, German, and French.

Speak two or more languages

98% (Germany: 97%)

98% of Artificial Intelligence experts in Munich speak two or more languages. It is 1% higher than in Germany, where the rate stands at 97%.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
4% of Artificial Intelligence experts in Munich charge less than €400 per day.
30% of Artificial Intelligence experts in Munich charge between €400 and €800 per day.
49% of Artificial Intelligence experts in Munich charge between €800 and €1200 per day.
14% of Artificial Intelligence experts in Munich charge between €1200 and €1600 per day.
4% of Artificial Intelligence experts in Munich charge €1600 or more per day.
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of experts in this technology in Munich 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 Munich using Artificial Intelligence

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 862 €
Germany avg. 835 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €
Germany median 800 €

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.

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 (81%)
  • Professional Services (54%)
  • Automotive (47%)
  • Manufacturing (42%)
  • Banking and Finance (41%)
  • Retail (33%)
  • Media and Entertainment (32%)
  • Education (32%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What it is

Artificial Intelligence enables software to learn from data, interpret language, recognize patterns and support decisions. It includes machine learning, deep learning, computer vision, natural language processing and generative AI. Companies use it to create systems that adapt to changing inputs instead of relying only on fixed rules.

What it builds

AI specialists turn business goals into working products and automated processes. Typical deliverables include:

  • Recommendation and personalization systems
  • Document, image and speech processing
  • Forecasting, classification and anomaly detection
  • Conversational assistants and generative AI features
  • Model APIs embedded in web, mobile and enterprise software

Ecosystem and tooling

Strong Artificial Intelligence professionals select tools according to the data, model and operating context. Their work may involve Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, vector databases and cloud AI services. They also connect data pipelines, model registries, APIs, notebooks, container systems and monitoring into a dependable workflow.

When expertise matters

Companies bring in freelance specialists when an AI initiative must move from exploration to a reliable production service. This is common during product launches, legacy modernization, proof-of-concept validation and the introduction of generative AI into internal workflows. In Munich, projects may span automotive, manufacturing, finance, healthcare and media, with collaboration arranged remotely, on site or in a hybrid model.

What strong professionals do

The best specialists understand both model behavior and business risk. They clarify the target outcome, check data quality, choose meaningful evaluation methods and make trade-offs visible. They address privacy, security, bias, explainability, cost and latency rather than treating model accuracy as the only goal.

How to assess fit

Look for evidence that a professional has delivered a complete AI system, not only trained a model. Useful signals include clear ownership of data preparation, deployment, monitoring and user feedback loops. Ask how they handle drift, uncertain outputs, prompt or model changes and handover to an internal team. For Munich-based collaboration, agree early on working language, availability for workshops and the balance between remote and on-site work.

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Frequently asked questions

Everything clients usually want to know about Artificial Intelligence, in one place.

Artificial Intelligence is used to automate decisions, analyze documents, forecast demand, personalize customer experiences and generate text, images or code. It can also power search, fraud detection, quality inspection, virtual assistants and industrial optimization. The right use case has a clear business outcome and access to suitable data.

Artificial Intelligence can identify patterns and produce outputs when fixed rules are difficult to define. Traditional software is often easier to test and govern for deterministic processes, while AI is useful when inputs are complex or variable. A strong solution may combine both approaches rather than replacing conventional software entirely.

Machine learning is a major part of Artificial Intelligence, but the terms are not identical. Machine learning learns patterns from data, while the wider AI field also covers reasoning, language, perception, planning and generative systems. Many project briefs use AI and machine learning interchangeably, so the expected capabilities should be made explicit.

A strong Artificial Intelligence freelancer often combines model development with data engineering, software architecture, cloud deployment and MLOps. Experience with APIs, security, evaluation, product discovery and user research can also be important. For generative AI, look for knowledge of retrieval-augmented generation, embeddings, prompt design and output control.

The required depth depends on the risk, data maturity and production scope of the project. A contained prototype may need focused machine learning expertise, while a customer-facing or regulated system calls for experience across data, deployment, monitoring and governance. Review comparable delivered work and the specialist’s approach to uncertainty, not only a list of tools.

Artificial Intelligence work is often suitable for remote collaboration because data, code and cloud environments can be shared securely. Munich teams should still define access controls, meeting routines, documentation standards and the occasions when on-site workshops add value. German and English language expectations should be agreed before work begins.

Before engaging an AI specialist, define what data may be accessed, where it may be stored and how it may be used for testing or model improvement. Clarify anonymization, retention, permissions, intellectual property and security responsibilities. The professional should be able to explain a practical data-handling process without exposing sensitive information.

A capable Artificial Intelligence professional explains assumptions, baselines, evaluation methods and failure modes in plain language. Ask for examples of production handover, monitoring and measurable business impact, while respecting confidentiality. Quality also shows in the ability to challenge an unsuitable use case and propose a simpler, safer alternative.

The average hourly rate of freelancers in Munich, Germany who have used Artificial Intelligence in their recent projects is 108 €, which corresponds to a daily rate of about 862 € based on an 8-hour working day.

Of the freelancers in Munich, Germany who have used Artificial Intelligence in their recent projects, 96% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 12% hold a doctorate.

On average, freelancers in Munich, Germany 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 Munich, Germany who have used Artificial Intelligence in their recent projects are English (98%), German (97%), and French (23%).

The most common industries among freelancers in Munich, Germany who have used Artificial Intelligence in their recent projects are Information Technology (81%), Professional Services (54%), and Automotive (47%).

The most common business areas among freelancers in Munich, Germany who have used Artificial Intelligence in their recent projects are Information Technology (81%), Product Development (78%), and Project Management (65%).

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.

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