21 days ago
Düsseldorf, GermanyStaff+
Responsibilities
- Bridge AI engineers, automation engineers, data scientists, business stakeholders, and architecture teams.
- Translate business goals and requirements into technically feasible AI-powered solutions and frameworks.
- Prototype and deliver proof-of-concepts using cloud-based AI/ML services and third-party LLM endpoints.
- Design agent and multi-agent solutions and integrate them into the enterprise application landscape.
- Compare AI solution options, including agent orchestrators, open LLMs, and computer vision solutions, and provide technical recommendations.
- Define technical standards, frameworks, architectural approaches, and best practices for AI and ML systems.
- Advise stakeholders on technical vision and strategy, including scalability, performance, availability, and security.
- Coach development teams on using Google Cloud AI services and products.
- Support operational practices such as CI/CD pipelines, logging, and monitoring for AI-powered solutions.
Requirements
- Experience architecting AI-powered products on Google Cloud Platform.
- Experience working in an architect role, particularly in cloud environments.
- Broad understanding of technology stacks and software architecture approaches for solving complex business problems.
- Ability to explain the effects of architecture and design choices on scalability, performance, availability, and security.
- Understanding of architecture principles for agent and multi-agent systems.
- Ability to translate business requirements into technical frameworks.
- Expertise in modern operations approaches for AI-powered solutions, including chats, agents, ML models, and computer vision models.
- Collaborative leadership skills and the ability to connect technical, business, and governance teams.
- Very good written and verbal English fluency.
Benefits
- Dynamic, multicultural environment with self-organizing teams working in an agile setup.
- Teamwork, knowledge sharing, continuous learning, and company-wide and individual development programs and training.
- Individual support solutions throughout the professional journey.
- Position grade: Technical Architect Grade 1 (Md8).
Tech Stack
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