
Generative AI Experts in Cologne
matched in minutes by AIHire experts who design production-ready language and image solutions, connect foundation models to business data, and build reliable RAG workflows. FRATCH matches you quickly with vetted, available freelancers whose skills fit your project.
Meet FRATCH Experts in Cologne, who have recently used Generative AI
Burhan D.
Last position:
Enterprise Architect & Solution Architect at DB Netz AG
With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.
- Capture current architectures of existing systems as well as methodical consulting and development of target architectures
- Deepen and maintain the building plan / target IT landscape
- Implement technical architecture concepts & architecture descriptions
- Implement migration concepts for updating and further developing the platform and information systems
- Assess submitted improvement suggestions as part of the project
- Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
- Create a compatibility matrix of the components in use and compare dependencies of specific versions
- Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
- Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
- Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
- Advise the Release Train Engineer / Project Manager in identifying project risks
- Advise the System Architect Engineers in steering the implementation of the concept
- Implement the IT concept
- Document the infrastructure
Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot
Marc R.
Last position:
CTO Coach at zvoove Switzerland
- Coaching the CTO on translating the product strategy into technical strategy and AI transformation of the R&D organization; acting as an independent sparring partner on strategic and technical topics
Maurice H.
Last position:
Senior Product Owner at Hydra Lynx Ltd
- Unified AI initiatives through the central coordination and integration of artificial intelligence projects to increase efficiency and business value.
- Identified and prioritized AI use cases through business process analysis and translated them into structured product backlogs and roadmaps.
- Led change management activities, including the introduction of new digital tools, communication strategies, and training concepts to support cultural change.
- Managed requirements and processes through end-to-end requirements analysis, process modeling, and organizational optimization.
- Scaled agile practices (Scrum, Kanban, OKRs) and promoted cross-functional collaboration and continuous improvement.
- Supported company-wide digital transformation by leading technical change initiatives and strengthening collaboration models.
Sofia H.
Last position:
Creative Producer & Content Creator at Self-employed
- Conceptualization and production of UGC and social media content for brands
- Development of creative concepts, hooks, scripts and video formats for TikTok and Instagram
- In front of and behind the camera: video production, editing, storytelling and on- and off-camera work
- Social media consulting: content strategy, platform logic and brand presence
Fahad R.
Last position:
Data Science – Operations Optimization at Netto-marken
Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.
- Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
- Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
- Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.
Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI
Thomas P.
Last position:
GenAI Customer Experience Lead at Samsung Electronics
- Leading initiatives to improve the retrieval and representation of Samsung support content in AI-generated answers, including authoring editorial standards and educating stakeholders on representation risk.
- Developing initial frameworks to measure and evaluate brand representation in AI-generated answers (LLMs, Google AI environments), including prompt baselines and scoring models.
Rebecca P.
Last position:
Art Director | UX/UI Designer at Freelance
Concept, design, and implementation of digital brand and communication solutions for companies, practices, freelancers, and agencies.
Concept and design of corporate websites, shops, landing pages, app and interface concepts, as well as complex design systems – from strategy, information architecture, mobile-first approaches, and UX/UI design to Figma prototyping, content structure, SEO-relevant content, and image concepts, all the way to implementation (in WordPress) and maintenance.
Independent project management including client consulting, quote and budget coordination, quality assurance, and collaboration with development.
Focus areas: UX/UI design, art direction, web design, e-commerce, corporate websites, complex design systems, Figma, WordPress, marketing
Antje B.
Last position:
AI Strategy Consultant, Change Manager at SMEs (various marketing boutiques, IT & office services)
AI Strategy & Enablement for SMEs Management consulting – SMEs (e.g. marketing boutique, IT & office services)
Concept and delivery of structured AI introduction and strategy workshops for small and medium-sized businesses. Result: Practical AI status assessment, prioritized use case list, and management decision template as the basis for the next steps in the company’s AI development.
Activities
- Needs analysis and individual preparation of the consulting formats
- Facilitation of a structured AI status assessment including vision, mission, and target picture
- Identification and prioritization of relevant AI use cases and action fields
- Creation of management decision templates and roadmaps
- Raising awareness for opportunities, risks, and success factors of AI introduction
- Support for first customers with AI-supported automation scenarios
- Supporting people and teams through the change process of AI introduction (CM)
Methods / Tools / Technologies
Methods:
- AI status assessment & use case analysis
- Workshop moderation / facilitation
- Requirement Management
- Change Management (PROSCI)
Tools:
- Generative AI tools (e.g. ChatGPT, Claude)
- Automation/AI coding tools (e.g. n8n, Claude Code, Visual Studio, Antigravity)
Technologies:
- Prompt engineering
- AI workflow automation
Halil O.
Last position:
Senior Cloud Operations & DevSecOps Engineer (Azure / Terraform / CI-CD) at KfW Bankengruppe
Regulated environment within a German banking group (approx. 8,500 employees, hybrid cloud strategy).
Responsible for operating, provisioning, and continuously securing business-critical platforms – including a GenAI chat application, a big data/AI platform, and data science workspaces based on Azure Virtual Desktops and VMs. Ownership of Azure DevOps projects for ShaiHulud and React2Shell, as well as BSI alerts – Security Operations improvements across the SDLC.
Deployment responsibility for the GenAI chat application, big data/AI platform (BDAI), and data science workspaces (AVD/VM-based) in the respective landing zones.
Deployment & release management: end-to-end responsibility for deploying portal and service applications across multiple Azure landing zones, including technical approvals, compliance with development team deployment guidelines, and ensuring ITIL-based change and release processes via ServiceNow.
Azure landing zones & network architecture: design, provisioning, and operation of Azure landing zones for 3-tier web applications with enhanced network segmentation, VNet peering, hub-and-spoke architectures, private endpoints, and firewall integration across separate subscriptions and tenants.
Azure DevOps governance & operations: ownership of the Azure DevOps organization, including projects, repositories, and CI/CD pipelines; implementation of governance requirements such as branch policies, approval gates, permission models, and audit-ready operating structures.
Infrastructure as Code (Terraform): design, implementation, and operation of a modular Terraform architecture for standardized cloud infrastructure deployment, including state management, provider versioning, reusability, and policy-as-code approaches.
CI/CD pipeline engineering: design, operation, and optimization of complex YAML-based CI/CD pipelines with multi-stage deployments, template standardization, self-hosted agents, integrated secret management, and automated quality and security checks.
Git migration & platform consolidation: planning and execution of repository and pipeline migration from Azure DevOps to GitLab CI/CD, including automated scripts, full Git history transfer, pipeline porting, and platform consolidation.
Container & platform operations (AKS): operation and security assessment of containerized workloads on Azure Kubernetes Service, centralization of on-premises container registries for ACR.
OpenShift (OCP) security reviews: security assessment of code baselines, build pipelines, and deployment processes for on-premises OpenShift clusters with critical applications, and derivation of specific hardening recommendations.
Shift-left security & DevSecOps transformation: introduction of a company-wide shift-left approach for early security integration in development and deployment processes, enabling developers to perform self-led security checks and sustainably reduce vulnerabilities before production (IDE integrations, pre-commit hooks, local scanners).
Software supply chain security: analysis and mitigation of supply chain risks in NPM- and Yarn-based applications through dependency audits, CI/CD pipeline hardening, token rotation, and restriction of risky build and lifecycle mechanisms.
Frontend & framework security (React / Next.js): security assessment and coordination of critical vulnerability remediation across platform applications and web frameworks, including coordination and complementary technical mitigations with all teams following BSI alerts.
Software composition analysis (SCA): introduction and operation of automated vulnerability scans for container images, pipelines/artifacts, and third-party dependencies, including SBOM exports within CI/CD pipelines.
SAST/DAST integration: design and piloting of static and dynamic application security tests in close collaboration with security architecture and development teams, for continuous improvement of code and runtime security, and establishing operational acceptance tests.
Artifact & registry consolidation: analysis and consolidation of all package and container repositories for service applications and AKS workloads, aiming for a centralized, secured registry strategy with centralized vulnerability scanning and governance.
Dependency-Track & SBOM strategy: advising the compliance board on introducing a central SBOM and vulnerability management platform to increase enterprise-wide dependency transparency and accelerate CVE response capability.
CI/CD pipeline hardening: security analysis and cleanup of the existing pipeline landscape by removing unused pipelines, improving secrets hygiene, implementing least-privilege principles, and isolating build agent environments.
Azure Web Application Firewall (WAF) optimization: analysis and tuning of existing Azure WAF rules (OWASP Top 10 Core Rule Set, DSR/SDC, custom rules) to defend against known vulnerabilities and exploit patterns, including reducing false positives and improving threat detection.
Documentation & stakeholder communication: creating and maintaining technical documentation, runbooks, and architecture overviews in Jira and Confluence, as well as active knowledge transfer between operations, development, security, and compliance stakeholders.
Michael O.
Last position:
UX UI Designer at Robert Piper
Concept development and redesign of a real estate sales platform, AI-driven ideation with Claude
Real Estate Conversion Optimization Claude
Armen M.
Last position:
CTO/CPO Platform & Technology at Green Mobility Holding
- Overall responsibility for platform transformation across ERP, CRM, PIM, and AI-driven process automation
- ERP transformation: Implementing and migrating to Microsoft Dynamics 365 Business Central
- CRM & growth stack: Implementing HubSpot as the central CRM and a platform for lead and marketing automation
- Product data & commerce enablement: Introducing an ePIM to scale category management and digital commerce processes
- AI-driven process automation: Designing and implementing agent-based AI workflows to automate processes in business services, accounting, tender management, and marketing
- Building a scalable platform organization including product development, DevOps, UX, cloud engineering, and corporate IT
- Implementing modern product and portfolio governance (e.g., OKRs, portfolio boards, value-based roadmaps) to manage technology-driven initiatives
- Harmonizing heterogeneous system landscapes and transforming them into a modular, scalable platform architecture (ERP, CRM, PIM, integrated customer journeys)
- Coaching and developing product owners, tech leads, delivery managers, and UX teams to build a scalable product organization
Kevin B.
Last position:
Procurator and AI Lead at ValueData GmbH
- Serve as AI lead for life-science solutions, integrating advanced AI models directly into company workflows and ensuring seamless deployment.
- Design and implement deep learning architectures (PyTorch, Keras) for complex biomedical challenges, including cell segmentation, multimodal omics analysis, and prediction of point clouds.
- Develop and deploy robust LLM-based systems, including RAG architectures and agentic workflows using LangGraph, to facilitate natural-language interaction with complex medical data.
- Lead cross-functional initiatives to apply foundation models and explainable AI (xAI) to clinical and evolutionary algorithms.
Alina O.
Last position:
Strategic Requirements Manager for OZG Project at INIT AG
- In my key role in strategic requirements management for the UVO online service, I established a comprehensive process from concept to execution.
- The responsibility included effectively collecting and prioritizing user feedback and requirements from municipalities and state administrations for direct service improvements.
- Developed, implemented, and led strategic requirements management for the OZG 2.0 UVO online service
- Gathering, prioritizing, and handling functional requirements, issues, improvement suggestions, and requests from municipalities and state administrations
- Creating release documentation
- Communicating implemented requirements to municipalities and UV offices
- Aligning with service managers and stakeholders
- Coordinating XFamily changes and version updates
- Managing and maintaining the Jira backlog and Confluence pages
- Responsible for Jira sprints, sprint planning, and review
- Coordinating with business, Product Owner, and development team for requirement implementation
- Testing implemented requirements in the online service
- Project documentation
André F.
Last position:
GenAI Product Owner at OW Media Solutions GmbH
- Designed and led the development of an automated short-video generation system.
- Built a scalable AWS backend using Step Functions, Lambda, S3, ECS Fargate, and DynamoDB.
- Developed video rendering with OpenCV and FFMPEG; ensured maintainable Python code.
- Supervised and mentored a Python developer and trained the client in AI workflows.
- Decreased end-to-end production time from hours to minutes.
- Created a modular, extensible architecture designed to support future AI models.
Carolina M.
Last position:
Communications Consultant – External Relations at United Nations Volunteers
- Designed brochures, presentations, infographics, and reports to communicate UNV initiatives (Full Funding Programme, Special Voluntary Fund) to global partners.
- Created data-driven reports using Power BI and Google Analytics, enhancing clarity and transparency for internal and external stakeholders.
- Produced stories of UN Volunteers in the field.
Discover over 15,000 top freelancers
Statistics of experts using Generative AI
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 16 years)

Position duration
2.2 years (Germany: 2.3 years)

Positions per freelancer
10

Top business areas
Information Technology, Project Management, Product Development

Top industries
Information Technology, Professional Services, Retail

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
92% (Germany: 97%)
Master's degree or higher
46% (Germany: 75%)
Doctorate
15% (Germany: 17%)

Certifications per freelancer
4 (Germany: 3)

Most common languages
German, English, Spanish

Speak two or more languages
94% (Germany: 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 Cologne 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 Cologne using Generative AI
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.
Generative AI 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 (72%)
- Professional Services (50%)
- Retail (50%)
- Automotive (39%)
- Government and Administration (39%)
- Advertising (33%)
- Transportation (33%)
- Telecommunication (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Generative AI does
Generative AI creates new content from learned patterns in text, images, audio, video and code. Companies use it to power conversational assistants, document workflows, search interfaces, creative tools and software features that respond to natural language. The work spans model selection, application design and careful control of output quality.
Models and methods
Professionals work with foundation models from providers such as OpenAI, Anthropic, Google and open-source ecosystems. They choose between hosted APIs, managed model services and self-hosted models based on data sensitivity, latency, control and operating effort. Core methods include prompt design, structured outputs, embeddings, fine-tuning and retrieval-augmented generation, commonly called RAG.
Where it fits
- Customer support assistants grounded in approved company content
- Internal search across contracts, policies and technical documentation
- Content classification, summarisation and information extraction
- Copilots for sales, finance, service and software workflows
- Image, audio or text generation with review and approval steps
Generative AI can sit inside a web application, a data platform or an existing enterprise process. Strong solutions connect model capabilities to clear user journeys rather than adding an isolated chat interface.
Project delivery
Companies bring in freelance expertise when they need to validate a use case, move a prototype into production or add specialist capacity to an existing product team. Typical deliverables include a model evaluation, prompt and retrieval pipeline, API integration, guardrail design, test set, monitoring approach and deployment documentation. In Cologne, collaboration may combine remote delivery with on-site workshops, depending on team structure and data access.
Skills around the stack
Generative AI projects often require knowledge of Python or TypeScript, REST APIs, cloud services, vector databases and data pipelines. Professionals may also cover LangChain, LlamaIndex, model gateways, evaluation frameworks, observability and containerised deployment. Security, privacy, access control and human review belong in the design from the start, especially for regulated industries and customer-facing systems.
What strong professionals bring
The best specialists connect technical choices to measurable business tasks and known failure modes. They test factual accuracy, citation quality, bias, prompt injection resistance, latency and operating cost instead of relying on impressive demonstrations. They explain trade-offs clearly, protect sensitive data and leave teams with maintainable workflows, reproducible evaluations and a practical path from experiment to dependable service.
Frequently asked questions
Everything clients usually want to know about Generative AI, in one place.
Companies use Generative AI for assistants, semantic search, document processing, content creation, coding support and workflow automation. The strongest projects define a specific user task, connect the model to trusted information and include review where incorrect output could cause harm.
Generative AI handles open-ended language, images and other unstructured inputs, while traditional automation is usually more predictable for fixed rules and repeatable transactions. A sound solution often combines both: a model interprets the request, and deterministic software validates and executes the result.
A strong Generative AI specialist may also understand Python or TypeScript, APIs, cloud infrastructure, data engineering, vector databases and application security. Experience with evaluation, observability, prompt injection defence and privacy controls is especially useful for production work.
The right level depends on the project’s risk, data complexity and production scope. A discovery prototype may need focused model and product knowledge, while a customer-facing or regulated system calls for a professional who can design retrieval, testing, security, monitoring and operational ownership.
Yes, Generative AI work is often suitable for remote collaboration because model services, repositories and evaluation environments are online. On-site sessions in Cologne can still help with discovery, stakeholder workshops, data access and alignment with teams that handle sensitive information.
Assess Generative AI work against representative tasks, not a polished demo. Ask for an evaluation plan covering factuality, groundedness, safety, latency, failure handling and maintainability, then review whether the system shows sources, respects permissions and behaves consistently under difficult inputs.
In Generative AI, retrieval-augmented generation is often the better choice when answers must use changing or private documents and provide supporting sources. Fine-tuning can help with style, task behaviour or consistent formatting, but it is not a substitute for keeping frequently changing knowledge current.
Before working with Generative AI, clarify the target users, source data, permitted model providers, security requirements, success criteria and who will operate the system after launch. Also establish how outputs are reviewed, how quality is measured and which failure cases must block a response.
The average hourly rate of freelancers in Cologne, Germany who have used Generative AI in their recent projects is 113 €, which corresponds to a daily rate of about 906 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Generative AI in their recent projects, 92% hold at least a Bachelor's degree, 46% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Cologne, Germany who have used Generative AI in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Cologne, Germany who have used Generative AI in their recent projects are German (100%), English (89%), and Spanish (11%).
The most common industries among freelancers in Cologne, Germany who have used Generative AI in their recent projects are Information Technology (72%), Professional Services (50%), and Retail (50%).
The most common business areas among freelancers in Cologne, Germany who have used Generative AI in their recent projects are Information Technology (89%), Project Management (83%), and Product Development (78%).
Main locations of FRATCH Experts, who have recently used Generative AI
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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