Jens H.-Interim CTO / CDO & Enterprise Architect | AI Compliance & EU AI Act, Azure AI Foundry | Lawyer & Computer Scientist

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Experience
Interim CTO (occasional assignments)
Fujitsu / FSAS
Stabilization of an Azure/.NET landscape in live operation.
- Architecture, DevOps, and operational readiness; technical decisions under time pressure
- Azure DevOps, monitoring, ETL/ELT, cloud security, FinOps, and data-mesh-related topics
Technologies: Azure DevOps, .NET, CI/CD, monitoring, FinOps
Senior Solution Architect & AI Governance
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)
Architecture of a global analytics and data platform in the public sector — new development without a legacy system.
- Architecture blueprints, Architecture Decision Records (ADRs), guardrails, and data mesh design
- Cloud agnosticism and exit strategy (Data Act) as a consistent design principle
- Evaluation of LLM and agent technologies (including Claude, MCP) from a governance and compliance perspective
- Independent architecture design, iteratively validated with stakeholders; clarifying requirements before defining the target vision
Technologies: Azure, Data Mesh, arc42, ADRs, AI Governance, ingestion pipelines
Technical Lead — LegalTech / Due Diligence (M&A)
GÖRG Partnerschaft von Rechtsanwälten mbB
Building a RAG platform for a large law firm: automated document processing with verifiable source references.
- Architecture and implementation based on an Azure Application Landing Zone with a Python GenAI pipeline and RPA integration
- LLM-based classification and extraction with bidirectional linking between data field and source location
- Duplicate detection by byte comparison, versioning, and complete audit logging
- Model selection and evaluation (Claude, Azure OpenAI, Fraunhofer models as managed compute and model-as-a-service); agent integration via MCP
- Cost control through model routing, rule-based preprocessing, chunking, and caching to avoid duplicate LLM calls
- Efficiency goal of the project: 30–40% reduction in effort in due diligence review
Technologies: Azure AI Foundry, Azure OpenAI, Claude, Python, RAG, MCP, queue/worker architecture, RPA
Consultant AI Governance & AI Cloud
KI-Codex
Consulting as well as development and operation of an own multi-agent system in productive day-to-day use.
- Agents for email handling, research, and document workflows — Agentic AI with solid operational experience
- Model routing, cost control, and ongoing evaluation in continuous operation
- Approaches to a Minimum Viable Compliance for productive AI systems
- Professional book “Compliance for AI Systems” (Rheinwerk Verlag, expected end of 2026); early expert articles on MCP
Technologies: multi-agent systems, MCP, Claude API, Python, LLMOps, evaluation & guardrails
Cloud & AI Solution Architect
Microsoft (through Concentrix)
AI strategy, compliance, and cloud architecture for enterprise customers on Microsoft Azure.
- GenAI and RAG solutions, Copilot Studio, risk analysis, and governance concepts
- Enterprise architecture assessments: options, trade-offs, and stakeholder alignment
- Architecture workshops and migration consulting
Technologies: Azure, RAG, Copilot Studio, enterprise architecture assessments
AI Strategist & Product Manager
adesso SE
AI strategy and governance models in a regulated environment; earlier productive use of Semantic Kernel.
- Maturity assessments, RAG and agent architectures, LLM evaluation (including Claude)
- Executive workshops and product strategy
- Technical sparring to define the boundary between AI and rule-based solutions: recommendation of deterministic methods where they are cheaper and easier to test
Technologies: Semantic Kernel, RAG, AI Governance, workshop formats
Chief Software Architect
Materna Information & Communications SE
Migration of a legacy monolith to cloud-native microservices.
- Strategic macro architecture, Domain-Driven Design, arc42 documentation
- Technical leadership of three Scrum teams
Technologies: DDD, arc42, microservices, team leadership
Chief Software Architect
Meierhofer AG
Healthcare modernization: migration of legacy systems to .NET microservices on Azure, GDPR-compliant.
- Strategic data modeling for health data
- Containerization, Clean Architecture and Product Owner-related tasks
Technologies: .NET, Azure, containers, GDPR, healthcare
Lead Software Architect / Lead Developer
EnBW Energie Baden-Württemberg AG
Greenfield development of an intelligent call routing solution on Azure.
- Reduced deployment time from 3 days to 2 hours (CI/CD automation)
- Clean Architecture and data-science-related processing of unstructured legacy data
Technologies: Azure, Clean Architecture, CI/CD, unstructured data
Architecture / Lead
June GmbH
Distributed systems for major law firms.
- Saga pattern, asynchronous integration and event-driven architecture
Technologies: RabbitMQ, Sagas, event-driven architecture, API design
Developer / Architecture
Medifox
Healthcare software based on the principle of Security by Design.
- API development with GraphQL, Domain-Driven Design
Technologies: GraphQL, DDD, Security by Design
Developer / Architecture
Mercedes-Benz
Modernization of leasing and finance systems.
- Event streaming and operations on Cloud Foundry in a corporate environment
Technologies: Kafka, Cloud Foundry, finance domain
Architect
Zeiss Digital Innovation
Serverless Azure architectures in the healthcare environment.
- Azure serverless architectures, interoperability based on the FHIR standard
Technologies: Azure Serverless, FHIR
Technical Lead
team neusta / Zeiss
IoT and machine communication.
- Protocol and integration architecture for external systems
Technologies: MQTT, AMQP, REST, IoT
Senior Developer .NET & Software Architect
M&M Software
Industrial IoT and cloud solutions with a focus on automation & edge integration.
Responsibilities: Azure IoT Hub, Event Grid & microservices for scalable industrial applications Network & fieldbus integration (TCP/IP, PROFIBUS, EtherCAT) Migration ASP.NET → ASP.NET Core, full stack with Angular, TypeScript, WPF Introduction of Azure DevOps & architecture standards iSAQB®-certified software architect
Results: Introduction of Azure DevOps & architecture standards Development of the auto-scaling service for the WAGO Cloud IoT Hub Software architect certification as the employee with the shortest tenure, but with the best result
Managing Director
SoVD
Leading a district office with 8,000 members.
Responsibilities: Legal advice & representation in social law objection and litigation proceedings Strategic and operational management of the office; advocacy for members toward authorities and social courts
Results: Advocacy for members toward authorities and social courts Successful leadership and organization of the team Strategic development of the district office
Lawyer, Insurance and Employment Law
Wittig & Ünalp
Responsibilities: Legal advice and representation in insurance and employment law cases Preparation of legal analyses and expert opinions Client advice on complex legal issues
Results: Successful handling and resolution of legal disputes Building expertise in insurance law Development of practical solutions
Skills: Legal analysis, experience in court proceedings, experience in a large law firm
Legal Trainee
Oberlandesgericht Celle
Focus: IT law, public procurement law & IT procurement in the public sector.
Preparation of contract documents & legal support for public tenders In-depth insight into regulatory processes & compliance requirements Advice on IT procurement and legal documentation
Results:
Focus: Public procurement law & IT procurement in the public sector Preparation of contract documents & legal support for public tenders In-depth insight into regulatory processes & compliance requirements
Insurance Salesperson
Debeka
Final grade: Good Focus areas: Field sales, life and private health insurance, construction financing
(Reserve) Officer (Drone Artillery)
Bundeswehr
Completed the elite soldier course in Hammelburg, graduating as the top student of the officer class in Idar-Oberstein
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Professional Services, Manufacturing, Government and Administration, Healthcare, and Automotive.
Business area experience
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Experienced in Information Technology, Product Development, Finance, Legal, Operations, and Procurement.
Summary
I combine software architecture, AI/data solution design, cloud platform design, GenAI engineering, and AI governance. My focus: production-ready AI and data solutions in enterprise environments with Agentic AI, Azure AI, Anthropic Claude, RAG, modern data platforms, API/integration architectures, CI/CD, observability, and clear regulatory guardrails.
AI makes code cheap - deployment, operations, and responsibility stay expensive. A system is not done when AI spits out error-free code; it is done when it runs safely, performs well, is observable, and is compliant in production. AI has shifted the bottleneck: away from the keyboard, toward decisions, governance, and quality assurance - and that is exactly where I come in.
I work on the points where initiatives go off track: target architecture, technical decisions, integration into existing landscapes, operational readiness, and governance. By combining computer science, law, and leadership experience, I translate between business, IT, management, and compliance.
I am also currently writing a book for Rheinwerk Verlag:
“Compliance for AI Systems – Designing, Implementing, and Securing Them in a Legally Compliant Way”, which is due to be published at the end of 2026.
Skills
Single- And Multi-Agent Architectures: Design, Implementation, And Scaling Of Productive Agent Systems
Agent Orchestration With Mcp (Model Context Protocol, Anthropic), Semantic Kernel, Langchain; Author Of One Of The First Medium Blog Posts On Mcp
Anthropic Claude: Intensive Hands-On Use, Own Claude Api Integrations, And Cross-Model Llm Integration (Claude, Azure Openai, Gpt Class)
Azure Ai Foundry, Azure Ai Services, Azure Openai, Azure Ai Search
Rag Architectures, Prompting, Guardrails, And Evaluation
Machine Learning Basics, Model Lifecycle, And Architectural Classification Of Classic Ml Services
Llm Integration Into Enterprise Processes: Data Interfaces And Input/Output Control — Model-Agnostic, Including Claude And Azure Openai
Automated Classification Of Large Document Sets Into Business Categories; Classes And Templates Can Be Adapted Without Retraining
Information Extraction With Source Reference And Bidirectional Linking (Extraction Field ↔ Source Location) For Full Traceability
Capture, Validation, And Categorization Of Supporting Documents (E.G. Invoices, Transport And Delivery Documents)
Duplicate Detection By File Content (Byte Comparison) Instead Of File Name; Quarantine Or Merge As Versions In Case Of Differences
Cost Control By Avoiding Duplicate Llm Processing (Chunking, Caching, Limits)
Asynchronous Processing Of Heavy Llm Jobs (Queue/Worker) With A Lean Api
Non-Destructive Work: Complete Logging, Versioning, And Audit Traceability
Eu Ai Act, Gdpr, Dora, Data Act, Data Governance Act
It Law, Regulatory, And Contract Understanding
Compliance By Design, Governance By Design, Minimum Viable Compliance
Translating Regulatory Requirements Into Architecture, Processes, Controls, And Evidence
Clean / Hexagonal / Onion Architecture, Domain-Driven Design
Microservices, Rest Apis, Event-Driven Architecture, Sagas
Target Architectures, Platform Design, Integration Architectures
Arc42, Adrs, Req42, Data Mesh, Data Contracts
Azure Landing Zones, Hub-And-Spoke, Iam/Rbac, Policies
Terraform, Bicep, Infrastructure As Code, Ci/Cd, Azure Devops
Docker, Kubernetes, Monitoring, Observability, Incident Analysis, Finops
Devops, Mlops, Delivery And Operational Readiness
Python-Based Genai And Data Pipelines
Sql, Data Architecture, Data Foundations, Lakehouse, Data Mesh, Data Spaces, And Data Contracts
Big Data And Spark-Based Platforms At Architecture Level; Not Positioned As A Spark Engineer
Governance-Ready Analytics, Evidence, And Automation
Structuring Data Flows And Controls Close To Compliance Reporting
Analysis Of Rfi/Rfp Requirements And Translation Into Robust Ai/Data Target Architectures
Technical Proposal Concepts, Architecture Documents, Effort Estimates, And Cost And Feasibility Assumptions
Communicating Architecture And Business Value To Senior Stakeholders And C-Level
Structured Handover Of Solution Designs To Delivery Teams
Translation Between Business, It, Management, And Compliance
Requirements Engineering, Adrs, Workshops, And Decision Facilitation
Technical Leadership Of Multiple Teams And Cross-Functional Collaboration
Product, Architecture, And Delivery Responsibility In Regulated Environments
Legal Tech And Due Diligence
Public Administration / Public Sector
Insurance And Financial Services
Healthcare / Medtech
Iot / Industry / Machine Communication
Languages
Education
Fernuniversität Hagen
Computer Science · Hagen, Germany
Leibniz University Hannover
First State Examination · Law · Hanover, Germany
Debeka
Insurance Salesperson
Certifications & licenses
IHK Potsdam
PeopleCert
iSQI GmbH
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Jens is based in Wathlingen, Germany.
Jens speaks the following languages: German (Native), English (Advanced).
Jens has at least 17 years of experience. During this time, Jens has worked in at least 18 different roles and for 20 different companies. The average length of individual experience is 1 year and 10 months. Note that Jens may not have shared all experience and actually has more experience.
Based on recent experience, Jens would be well-suited for roles such as: Interim CTO (occasional assignments), Senior Solution Architect & AI Governance, Technical Lead — LegalTech / Due Diligence (M&A).
Jens's most recent position is Interim CTO (occasional assignments) at Fujitsu / FSAS.
In recent years, Jens has worked for Fujitsu / FSAS, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), GÖRG Partnerschaft von Rechtsanwälten mbB, KI-Codex, and Microsoft (through Concentrix).
Jens is most experienced in industries like Information Technology, Manufacturing, and Professional Services. Jens also has some experience in Government and Administration, Healthcare, and Automotive.
Jens is most experienced in business areas like Information Technology, Product Development, and Finance. Jens also has some experience in Legal, Operations, and Procurement.
Jens has recently worked in industries like Information Technology, Professional Services, and Healthcare.
Jens has recently worked in business areas like Information Technology, Product Development, and Finance.
Jens holds a Master in Law from Leibniz University Hannover and a Master in Artificial Intelligence from IU International University.
Jens has 4 certificates. Among them, these include: Azure AI 102 (Azure AI Engineer Associate), AI Manager, and ITIL 4 Foundation.
Jens is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 14 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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