Artificial Intelligence Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Artificial Intelligence
Olaf S.
Last position:
Trainer & Facilitator for Digital Sovereignty at ITSM-COLOGNE
Project: Digital Sovereignty – Toll Collect
Workshop: Digital Sovereignty Recognize dependencies, reduce risks, remain capable of acting
Format
- One-day practical seminar
Target group
- Executive management
- IT managers
- Data protection officers
- Compliance functions
Content and objectives
- Systematic analysis of digital dependencies
- Assessment of legal and operational risks
- Development of a concrete plan to increase digital sovereignty
- Mapping of the entire IT infrastructure by participants
- Identification of critical dependencies on non-European providers
- Creation of a prioritized risk matrix based on:
- GDPR
- NIS2
- EU AI Act
- Joint development of options for action – from a hybrid model to complete migration to European solutions
- Development of an individual sovereignty roadmap with:
- Responsibilities
- Milestones
- Budget framework
Agenda
- Preliminary self-assessment (current infrastructure)
- Digital sovereignty? Nothing but an illusion
- Digital sovereignty 2026 – Germany’s dangerous dependency in focus
- Digital sovereignty & open source
- What is digital sovereignty?
- Three questions raised by digital sovereignty
- Reflection: Digital sovereignty in your own life
- Why is digital sovereignty existential now?
- Practical examples of digital sovereignty
- Schleswig-Holstein initiative
- Benefits of digital sovereignty for your company
- Assessing strategy options (cost-benefit matrix)
- Sovereign provider? 10 questions
- What does digital sovereignty specifically mean for your company?
- How do you shape digital sovereignty?
- Digital sovereignty and psychological safety
- Psychological safety: The key to high-performing teams
- Why psychological safety in your company?
- Benefits of psychological safety
- Invitation to group work: PsySafety Check (PS-C)
- The “Braintrust” experiment
- Creating a risk matrix
- Creating a roadmap & project plan
- European alternatives to US Big Tech
- 10-point plans:
- NIS2
- EU AI Act
- GDPR
- ISO 27001
Gregor P.
Last position:
Engineering Data Management Project Manager
Technical and commercial risk assessment for an investment project in the hardware sector (scaling potential, liability risks, operational processes) Process consulting for two SMEs in the engineering environment, with a focus on workflow digitization and PLM
Patrick L.
Last position:
Senior GenAI Fullstack Developer at SBH (Schulbau Hamburg)
Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.
- Development and implementation of an open-source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self-hosted solutions
- Development of reusable agentic workflows and business applications that enable non-technical employees to solve business problems independently
- Implementation of nine business applications with Single Sign-On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
Techstack: Python, Streamlit, Anthropic SDK (Claude), Azure, Linux, PostgreSQL, MS SQL, Angular
Carolyn S.
Last position:
VP of Business Development at VendueTech
Led business development across DACH for a PropTech platform digitising distressed real estate and NPL asset sales — unlocking liquidity for illiquid assets through structured digital bidding processes for brokers, investors and insolvency administrators.
Developed and managed enterprise relationships with real estate agencies, banks, servicers and PropTech platforms — driving pipeline generation, commercial negotiations and partnership development across Germany and Europe.
Replaced opaque one-to-one negotiations with transparent multi-bidder environments — supporting distressed real estate sales, NPL/REO asset disposals, portfolio sales and high-demand residential listings with speed, compliance and auditability.
Henok M.
Last position:
Electrician Specialist for Predefined Work (Dt: EFfT) at WBS Trainings
- Fundamentals of electronics measurement, electropneumatic circuits & protective measures according to DIN-VDE
- Installation, wiring and commissioning of PLC-controlled Systems
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Falko M.
Last position:
Requirements Manager at Private company - for Umweltbundesamt
- Functional requirements management for DIVID, the Umweltbundesamt platform for administering the single-use plastics fund. Focus: entitled parties, sub-entitled parties, and benefit reports.
- Consolidation and analysis of specifications, Jira, Confluence, functional concepts, and UX designs. Independent structuring and delimitation of requirements, as well as identification of contradictions, gaps, and dependencies.
- Creation and quality assurance of implementable user stories with clear, testable acceptance criteria. Preparation of decision alternatives and coordination with business, development, UX, and QA through team refinement.
- Conducting manual and technically assisted accessibility tests. Coordinating findings with QA and the Product Owner for further planning and implementation.
- Result: more consistent requirements, clearly defined processes and stories, and transparent open decisions. Separation of assumptions from confirmed requirements; better basis for implementation, refinements, and QA test cases.
Tools used: Jira, Confluence
Vadim R.
Last position:
Independent AI Product Lab – Agentic Product Owner / Product Builder | R&D
- Hands-on development of AI-native product prototypes with specialized AI agents for research, requirements, business logic, UX/flow design, test case generation and quality assurance.
- Structured use and orchestration of AI agents through clearly defined roles, inputs/outputs and handover points; breaking down complex product tasks into verifiable work packages and iterative prototyping cycles.
- Establishment of human-in-the-loop quality gates to validate AI-generated results for functional correctness, consistency, completeness and feasibility; targeted rework cycles in case of deviations.
- Development of a regulatory GenAI/rules prototype for CRD VI with a structured decision flow, web UI, rule-based validation and automated test cases; iteration of the business logic through to a pilot-ready POC.
- Design of an AI-to-Action banking prototype: AI intent → consent → bank/product logic → conversion including admin console; translating the product idea into MVP scope, role model, user flows and clickable prototypes.
Alexander H.
Last position:
Senior Product & Strategy Consultant at hegehofer.consulting
Design, development, and market launch of digital products and platforms – from strategic alignment and agile implementation to Go-to-Market and Go-Live, integrating AI into processes and products
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Beate P.
Last position:
Interim Head of Service at Altendorf Group
- Strategic and operational leadership of the technical service organization
- Improvement of all processes and workflows
- Development and introduction of a service management IT tool incl. AI database, customer app, and self-service portal
Olga L.
Last position:
Business Analyst at VisualVest (Union Investment)
- Analyzed, structured, and documented business requirements for digital investment solutions, such as robo-advisors.
- Designed applications for new retirement products, including user flows, UX requirements, and functional specifications.
- Modeled and optimized business processes and coordinated with stakeholders while taking regulatory requirements in the financial sector into account.
Saqib J.
Last position:
AI Developer / AI Engineer (Lead) at KOM4TEC GmbH
- Designed and implemented modular AI assistants for sales and business processes within the Microsoft ecosystem (Agentic AI, Copilot extensions)
- Frontend architecture and development with React + TypeScript for embedded chat and assistant surfaces (streaming UI, Hooks, React Query, OpenAPI clients)
- Enterprise-level agent development: reusable skill/agent library, MCP servers, review and compliance gates
- LLM integration into the user experience: Anthropic (Claude), OpenAI, tool use, RAG pipelines, prompt engineering, guardrails
- Architecture and code review consulting, and mentoring within the AI development team
- Integration with Microsoft Graph, Power Platform, and Azure services
- Technologies: React, TypeScript, Anthropic Claude, OpenAI, MCP, RAG, Microsoft Graph, Power Platform, Azure
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Helmut G.
Last position:
(Interim) CFO at Eutecma
Asset of GPP (Private Equity)
- B2B, Provider of cooled packaging solutions for the pharmaceutical industry
- €20m in revenue, 50 employees, 2 locations
Responsibilities:
- Responsibility for all commercial and financial activities
- Establishment of a finance and reporting structure
- Carve-Out / Post-closing transition management
Achievements:
- Preparation of investor reporting package (sales, financials, cash) using Power BI
- Development of a sales funnel
- Business process redesigns and implementation of regular business reviews
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
3.3 years (Germany: 3.1 years)
Positions per freelancer
12 (Germany: 10)
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
93%
Master's degree or higher
56% (Germany: 64%)
Doctorate
8% (Germany: 10%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
97%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Frankfurt 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 Frankfurt 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 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 (88%)
- Banking and Finance (64%)
- Professional Services (56%)
- Automotive (36%)
- Manufacturing (36%)
- Retail (35%)
- Healthcare (32%)
- Education (28%)
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, identify patterns, generate content and support decisions. It includes machine learning, deep learning, natural language processing, computer vision and generative AI. Teams use it to create intelligent products, automate complex work and improve how people interact with software.
Products and systems
AI specialists deliver recommendation engines, forecasting services, document processing, conversational interfaces and image analysis systems. They also build fraud detection, search, personalization and predictive maintenance capabilities. In Frankfurt, these solutions can support finance, logistics, mobility, healthcare, manufacturing and business services.
Models and tooling
Strong work depends on more than selecting a model. Professionals work with Python, SQL, PyTorch, TensorFlow, scikit-learn, Hugging Face and cloud AI services. They design data pipelines, prepare training data, choose evaluation methods, manage model versions and connect inference services to secure production systems.
When companies need specialists
- A proof of concept must become a reliable product
- Existing models produce inconsistent or difficult-to-explain results
- Data needs cleaning, labeling, structuring or governance
- AI features must connect with APIs, databases or business software
- A team needs practical guidance on generative AI adoption
Freelance expertise is useful when internal teams lack the time or specialized knowledge to validate an approach. It can also add an independent view before a major investment or help a company move from experimentation to controlled operation.
Delivery and collaboration
AI projects require clear goals, representative data and agreed measures of quality. Specialists should explain trade-offs between accuracy, speed, cost, privacy and maintainability. Remote collaboration works well when documentation, access controls and review routines are clear; on-site work in Frankfurt can help with workshops, sensitive processes and stakeholder alignment.
What good expertise looks like
The strongest professionals connect model decisions with business outcomes. They test for bias, leakage, drift and failure cases instead of presenting a demo as a finished system. They can explain results to non-specialists, document assumptions and create monitoring, feedback and retraining processes that keep Artificial Intelligence useful after launch.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Artificial Intelligence.
Artificial Intelligence is used to automate decisions, classify documents, forecast demand, detect anomalies and personalize customer experiences. It also supports chat interfaces, content generation, visual inspection and knowledge search.
Artificial Intelligence is the broader field of systems that perform tasks associated with human intelligence. Machine learning is a major approach within it, using data to learn patterns rather than relying only on fixed rules.
A strong AI specialist usually understands data engineering, statistics, software development and cloud infrastructure. Depending on the project, useful adjacent skills include MLOps, data governance, cybersecurity, user experience and domain-specific process knowledge.
The right level depends on the risk, data quality and production requirements, not simply on the model. A proof of concept may need focused delivery experience, while a customer-facing or regulated system calls for a professional who has handled deployment, monitoring, security and failure analysis.
Artificial Intelligence work is often suitable for remote collaboration because data preparation, model development and code review can happen online. Frankfurt-based teams should still define access rules, communication hours, documentation standards and when on-site workshops are needed.
Generative AI is useful for producing or transforming text, images, audio and code, while traditional machine learning is often better for structured predictions, classification and anomaly detection. The choice should follow the business task, available data, explainability needs and tolerance for variable output.
Ask an AI freelancer to explain the data assumptions, evaluation method, error cases and production plan in clear language. Review examples of deployed work, documentation and monitoring, not only impressive prototypes or model names.
Before engaging an Artificial Intelligence expert, clarify the business outcome, available data, users, integrations and constraints around privacy and security. A useful brief also states what success looks like and whether the expected result is a prototype, an integrated feature or a maintained production service.
The average hourly rate of freelancers in Frankfurt, Germany who have used Artificial Intelligence in their recent projects is 106 €, which corresponds to a daily rate of about 852 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Artificial Intelligence in their recent projects, 93% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Artificial Intelligence in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Frankfurt, Germany who have used Artificial Intelligence in their recent projects are German (99%), English (97%), and French (18%).
The most common industries among freelancers in Frankfurt, Germany who have used Artificial Intelligence in their recent projects are Information Technology (88%), Banking and Finance (64%), and Professional Services (56%).
The most common business areas among freelancers in Frankfurt, Germany who have used Artificial Intelligence in their recent projects are Information Technology (91%), Product Development (75%), and Project Management (74%).
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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