Job Title
AI Architect
Location
Germany or Austria
Overview / Role Summary
We are seeking an experienced AI Architect to design, govern, and deliver enterprise-scale AI and machine learning solutions on Microsoft Azure. This pivotal role bridges architecture, data, and applied AI, guiding organizations from strategic inception to robust production-ready implementations. You will collaborate closely with business stakeholders, engineers, and data scientists to ensure that AI solutions are secure, scalable, responsible, and ultimately aligned with real business outcomes.
Benefits / Value Proposition
- Competitive salary and performance bonuses
- Comprehensive health benefits package
- Opportunities for professional development and training
- Flexible working hours and remote work options
- A culture that encourages innovation and collaboration
Key Responsibilities
- Architect end-to-end AI solutions on Microsoft Azure, managing everything from data ingestion to model deployment and monitoring.
- Define and own AI reference architectures, design patterns, and industry best practices.
- Lead the design of solutions utilizing services such as Azure OpenAI, Azure Machine Learning, Azure AI Services (Cognitive Services), and Azure Data Factory.
- Guide responsible and ethical AI adoption, maintaining a focus on governance, security, and compliance.
- Collaborate with engineering teams to implement MLOps and DevOps practices for model production.
- Translate business requirements into actionable technical AI architectures and roadmaps.
- Support pre-sales and solution shaping activities, which include technical workshops and architecture evaluations.
- Mentor engineers and architects on AI strategies, tooling, and the evolving capabilities of Azure.
Required Experience & Skills
- Must have strong hands-on experience designing solutions on Microsoft Azure.
- Required background in AI/ML architecture, encompassing both traditional machine learning and generative AI workloads.
- Must possess experience with Azure OpenAI, large language model (LLM) integration, and MLOps pipelines (CI/CD, model versioning, monitoring).
- Mandatory knowledge of data platforms and analytics architectures.
- Necessary understanding of cloud security, identity management, networking, and governance.
- Ability to communicate complex technical concepts effectively to non-technical stakeholders.
- Minimum experience working in enterprise or regulated environments.
Dealbreakers (Non-Negotiable Requirements)
- Legal work eligibility in the relevant jurisdiction.
- Mandatory certifications in Microsoft Azure or related fields.
- Required years of experience in AI architecture roles.
- Essential technical proficiency in Azure and AI services.
Desirable / Nice-to-Have Skills
- Microsoft certifications (e.g., Azure Solutions Architect, Azure AI Engineer).
- Experience with prompt engineering, RAG patterns, and AI copilots.
- Exposure to Power Platform, Dynamics 365, or Microsoft 365 Copilot extensibility.
- Background in consultancy, professional services, or solution delivery roles.
Application Call to Action
If you are a forward-thinking AI Architect ready to make a significant impact with your expertise in Microsoft Azure, we encourage you to apply today. Join us in shaping the future of AI solutions that drive measurable business value!