Salary: .000 € per year

• Excellent communication skills in German and English
• Extensive practical experience with AI projects in an enterprise environment
• Knowledge of data science, AI Ops/ML Ops
• Experience in consulting, pre-sales, and conducting workshops
• Experience in leading teams of cloud engineers and architects
• Experience in software development with standard programming languages and methods (e.g., Python)
• Experience with Microsoft Azure, AWS, and/or Google Cloud
• Knowledge of DevOps/DevSecOps and/or platform engineering and infrastructure-as-code (e.g., Terraform or Ansible)
• Experience with the Elastic Stack (Search, Kibana), Prometheus, and Grafana
• Familiarity with Databricks, MLflow/Model Registry, feature stores, and data governance
• Experience with containerized microservices architectures and API design and their cloud deployment (containers, Kubernetes, Helm)
• Knowledge of security, networking, virtualization, high availability, storage, and databases
• Passion for sharing knowledge and mentoring others

• Communication and consulting:
• • Providing trusted advice to renowned companies and managing customer projects from conception to approval
• • Earning the trust of customers and colleagues who value your opinion
• Architecture and design:
• • Designing AI systems that encompass classical machine learning, LLMs, and agent-based AI
• • Designing and implementing business-critical applications, platforms, and workflows
• Concept and quality standards:
• • Developing and defining quality standards during the implementation of AI solutions
• • Selecting suitable tools and components to meet functional and non-functional requirements
• • Reviewing and evaluating architectural approaches and infrastructures to improve security, cost efficiency, or prepare for migration/modernization
• Technical leadership and delivery:
• • Leading delivery engagements for enterprise customers and large organizations
• • Managing customer relationships and roadmaps together with the sales team
• Technical implementation:
• • Selecting and integrating LLMs/foundational models, providing guidance on RAG, tool usage, and agent orchestration
• • Automating AI environments with CI/CD pipelines and infrastructure as code
• • Developing scalable AI applications or platforms and handing them over to operations
• Technological vision:
• • Working with new technologies and services alongside established industry standards

• AI
• API
• AWS
• Ansible
• Architect
• Azure
• CI/CD
• Cloud
• Databricks
• DevSecOps
• DevOps
• Grafana
• Helm
• Support
• Kibana
• Kubernetes
• Machine Learning
• Prometheus
• Python
• Security
• Terraform
• Web
• microservices

More:

AI Architect
Germany - Remote (Within Location) • Full-Time • Engineering

Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success.

Currently, we are looking for an AI Architect to join our team in Germany. In this role, you will design the solution concept of applications, define quality standards during implementation, and select the right tools and components to meet both functional and non-functional requirements. You will develop scalable AI systems or platforms and ensure a smooth handover to operations. While you do not have to be an expert in every technical area, as a generalist you bring broad IT and public cloud knowledge, a keen sense of quality, and strong communication skills.

What we offer:
- Individual training budget and exam fees for certifications
- Flexible working hours and remote working model
- Company laptop and necessary equipment
- Local package including 30 days holiday allowance, pension allowance, Qualitrain card, and more

Please read our Recruitment Privacy Policy before applying. All applicants must have the right to work in Germany.

About Nordcloud:
Nordcloud is a European leader in cloud implementation, application development, managed services and training. A recognized cloud-native pioneer, we have delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. With triple-certification in Amazon Web Services, Microsoft Azure, and Google Cloud Platform, 10 European hubs, and over 1,300 employees, our multi-cloud expertise helps organizations balance quick wins, immediate savings, and sustainable value. Our clients benefit from best practices, technical support, and guidance through cultural change-from strategy planning to application management, ensuring real business outcomes from cloud technology.

Nordcloud values diversity and is dedicated to providing equal opportunities for all candidates and employees.

last updated 44 week of 2025