Hire the best Head of AI in Germany in minutes from 15,000 CVs with the power of AI
Bring in senior AI leadership for strategy, model delivery, and team setup. Whether you need an AI Lead for an LLM rollout, a Head of Machine Learning for MLOps, or an interim AI Director to steer product and data teams, get matched fast with vetted, available freelancers.
About the role
AI leadership
A Head of AI sets the direction for how a company uses artificial intelligence in real work. This role turns business goals into an AI roadmap, aligns product, data, and engineering teams, and makes sure the right use cases move forward.
- Define AI strategy and priorities
- Review build, buy, and partner options
- Set governance for model use, risk, and quality
- Translate business needs into delivery plans
What they deliver
Freelance Heads of AI are often brought in to start an AI function, reset a stalled program, or lead a specific initiative from idea to production. They are expected to make decisions, remove blockers, and keep teams focused on outcomes.
- AI strategy and operating model
- Use-case assessment and roadmap
- Team structure and hiring guidance
- Delivery oversight for pilots and production systems
- Stakeholder communication for leadership teams
Core skills
Strong candidates combine technical depth with leadership. They understand machine learning, data pipelines, cloud setup, and product thinking, but they also know how to work with executives, legal, security, and domain experts.
- Machine learning and generative AI concepts
- MLOps, deployment, and monitoring
- Data readiness and model evaluation
- Vendor and tool selection
- Clear communication across technical and business teams
Common tools
The exact stack depends on the company, but the role often works across Python-based ML work, cloud platforms, orchestration tools, and modern AI services. In many teams, the Head of AI also helps choose standards for documentation, versioning, testing, and safe rollout.
- Python and notebook-based analysis
- Cloud AI and data services
- Model lifecycle and monitoring tools
- Experiment tracking and prompt workflows
- Security, privacy, and governance frameworks
When companies hire one
Companies usually look for this role when AI needs executive ownership, not just technical execution. That is common in product companies, industrial firms, financial services, retail, and B2B software teams in Germany that need to move from experiments to reliable delivery.
- No clear AI owner exists
- Several teams build disconnected pilots
- Leadership needs a realistic roadmap
- A launch is blocked by data, tooling, or governance gaps
- On-site workshops in Germany are useful, but remote work is often enough for delivery and advisory work
What good looks like
A strong Head of AI is specific, calm, and practical. They do not sell hype. They define what should be built, what should be delayed, and what needs guardrails before anything goes live.
- Can explain trade-offs in plain language
- Knows when an LLM, classical ML, or simple automation fits best
- Understands how to move from proof of concept to production
- Balances innovation with compliance, reliability, and cost control
Meet FRATCH Heads of AI
Cris Lovell-Smith
Applied Machine Learning Engineer
Last position:
Head of AI at Harvest Hub
- Leading AI development for aquaculture startup, optimising shellfish visual assessments with machine learning and computer vision.
- Development and systematic evaluation of ML/CV algorithms for shellfish condition and morphometrics, using Python, Pytorch and MLFlow.
- Analysis of model performance, including identification of failure modes and edge cases in production deployments.
- Design of annotation strategies and refinement of labelled datasets for computer vision tasks.
- Detailed analysis of system performance and communication of findings through publication-quality technical reports to investors and fellow R&D staff.
- Responsible for delivery of technical roadmap.
Wolfgang Schenk
CIO / CDO / Project Manager AI Academy / Auditor of Operational Processes / Product Owner MS365
Last position:
CIO / CDO / Project Manager AI Academy / Auditor of Operational Processes / Product Owner MS365 at F&P Executive Solutions AG
- Digitalization of accounting, signature/approval, and onboarding processes
- Restructuring of the IT department
- Introduction of a digital sales tool
- Implementation of an AI webinar series
- Introduction and optimization of information security
- Administration and optimization of the MS Office 365 environment
Basem Elasioty
Head of Cloud & AI
Last position:
Head of Cloud & AI at VxLabs GmbH
- Led cloud and data engineering organization, defining architecture strategy for next-generation data platforms
- Designed and delivered an automotive fleet data management system including scalable ingestion pipelines, signal catalog management, and campaign processing workflows
- Built cloud-native microservices and streaming architectures supporting real-time vehicle data and AI-powered threat detection
- Established engineering standards for data quality, security, lineage, and governance in alignment with ISO/SAE 21434 and GDPR
- Managed engineering teams across data, backend, cloud, and AI functions, ensuring consistent delivery of high-quality, production-ready solutions
Kevin Baßler
Procurator and AI Lead
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.
Martin Geck
Head of AI Innovation • AI Product Owner • AI Specialist
Last position:
Head of AI Innovation • AI Product Owner • AI Specialist at Prompting Birds
- C-Level AI strategy consulting for companies in software development, transport and logistics, industry, medical technology, automotive, e-commerce, and event marketing.
- Leading the launch of new AI products and services.
- Analyzing use cases in R&D, sales, marketing, and service.
- Introducing AI solutions into everyday work.
- Technologies: Microsoft Copilot, Microsoft Azure OpenAI, AWS S3, Jira, Confluence.
Philipp Großer
Machine Learning Engineer
Last position:
Machine Learning Engineer at docmetric GmbH
- Analyzed patient data for various clients
- Developed complex analysis pipelines
- Performed quality assurance on methods
Sabrine Krichen
Team Lead
Last position:
Team Lead at InstaDeep
- Led a team of junior Research Engineers, providing mentorship, technical guidance, and career development support to foster their growth in deep learning and machine learning engineering.
Marcel Meyer
Cloud-Architect, Senior Solution Architect, Senior Software-Engineer
Last position:
Cloud-Architect, Senior Solution Architect, Senior Software-Engineer at Assignment of KPIs for the service landscape to record and analyse costs per user
- Technologies: GoLang, JavaScript, TypeScript, AWS, Terraform, Git
- Conception of AWS infrastructure and existing services
- Analysis of IAM accounts and roles
- Setup of Cost Explorer and CloudWatch monitoring
- Setup of DynamoDB and S3 persistence of collected information
- Reporting and cost calculation
- Conception of Terraform deployment
Mariusz Kreft
Chief AI Officer
Last position:
Chief AI Officer at pebble
- Spearheaded AI-driven projects to enhance cognitive development, demonstrating a commitment to innovative solutions in the AI domain.
- Led the AI strategy and implementation across multiple projects, ensuring alignment with organizational goals and driving significant advancements in AI applications.
- Oversaw the development and deployment of cutting-edge AI technologies, fostering a culture of continuous improvement and innovation within the team.
Discover over 15,000 top freelancers
Heads of AI statistics
Typical experience
14 years
Average project duration
2.6 years
Certifications per freelancer
3
Top business areas
Product Development, Research and Development, Information Technology
Top industries
Information Technology, Education, Media and Entertainment
Most common languages
German, English, Arabic
Bachelor's degree or higher
86%
Master's degree or higher
71%
Doctorate
14%
Salary / Daily Rate Distribution
The chart shows how the daily rates of freelancers in this role 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. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Average rates for Heads of AI & Seniority distribution
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.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Frequently Asked Questions
Curious about FRATCH? Find the answers you need
A Head of AI defines how AI supports the business and how delivery should happen. The role connects strategy, data, product, engineering, and governance so teams do not build isolated experiments. In practice, that often means shaping the roadmap, guiding use-case selection, and making sure work can move into production.
Look for a mix of AI strategy, machine learning depth, and leadership. A strong Head of AI should understand model selection, data readiness, deployment, and monitoring, but also know how to work with executives and cross-functional teams. The best candidates can explain complex choices in simple terms and make decisions under uncertainty.
Not always, but the titles are often used for similar work. A Head of AI usually has the broadest scope and may cover strategy, governance, team setup, and delivery across multiple use cases. An AI Lead or Head of Machine Learning can be more focused on technical execution, model development, or one part of the stack.
A freelance Head of AI makes sense when you need senior leadership quickly, for a defined period, or for a specific initiative. That is useful when you are launching an AI program, recovering a delayed project, or need external judgment before building an in-house function. It also helps when the need is strategic but not yet full-time.
A Head of AI is often brought in for strategy work, pilot design, production rollout, and team setup. Common projects include building an AI roadmap, introducing governance, selecting tools, or leading a genAI use case from concept to launch. In Germany, this is especially relevant for companies that want structured collaboration between business and technical teams.
Many Heads of AI can work remotely for strategy, reviews, and delivery oversight. On-site time becomes useful for workshops, leadership alignment, data access discussions, or when the company needs close coordination with local teams in Germany. The best setup depends on the level of stakeholder management and how mature the internal team is.
Ask for examples of AI programs they have shaped from idea to rollout, not just research or demos. A strong Head of AI can explain how they chose use cases, handled risk, and kept delivery grounded in business value. Look for clear thinking, realistic planning, and a calm approach to trade-offs.
Freelance Heads of AI should be ready to assess the current data landscape, stakeholder setup, and delivery blockers quickly. It helps to bring a clear point of view on operating model, governance, and how to move from pilot to production. Clients expect leadership, not just technical advice, so strong communication matters as much as AI knowledge.
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Philipp Thomaschewski
FRATCH CEO
