About the Role
As an AI Solution Architect, you will unlock the potential of AI for the entire METRO organization. You will rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, building digital agents, and engineering the future of smart wholesale with pragmatic, secure, maintainable, and observable AI-powered solutions that drive business value. Your work will impact how METRO operates in the age of AI.
Responsibilities
- Act as a liaison between technical roles (AI engineers, automation engineers, data scientists), business stakeholders, and the architecture community.
- Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with various engineering teams.
- Prototype and deliver Proofs of Concept (POCs) quickly by utilizing cloud-based AI/ML services and third-party LLM endpoints.
- Design agent and multi-agent solutions.
- Design the integration of new AI solutions into the existing enterprise application landscape.
- Create comparative analyses and technical recommendations across multiple AI solutions (e.g., agents orchestrators, open LLMs, computer vision solutions).
- Define technical standards, frameworks, and best practices for AI and ML systems.
- Advise business stakeholders on technical vision and strategy.
- Inspire and coach development teams to leverage Google Cloud AI services/products.
- Continuously seek new inspiration to enhance architecture within and beyond your area of responsibility.
Requirements
- Experience architecting AI-powered products based on Google Cloud Platform.
- Experience in an architect role, particularly within Cloud environments.
- Strong understanding of diverse technology stacks and architectural approaches to recommend appropriate software architecture and solutions for complex business problems.
- Ability to articulate the impact of architecture and design choices on non-functional requirements (scalability, performance, availability, security) in the context of AI-powered solutions.
- Proficiency in discussing architecture principles for agent and multi-agent systems.
- Capability to translate business requirements into technical frameworks.
- Broad expertise including modern operations approaches (CI/CD pipelines, logging & monitoring) for AI-powered solutions (e.g., chats, agents, ML models, computer vision models).
- An inspirational attitude towards AI solutions, aiming to redefine METRO's operations in the AI era.
- Act as a collaborative leader bridging technical, business, and governance teams.
- Very good fluency in English (written and verbal).
Skills
- AI
- Automation
- Data Science
- Cloud AI/ML Services
- LLM Endpoints
- Agent Design
- Multi-Agent Systems
- Enterprise Application Integration
- Comparative Analysis
- Technical Recommendations
- Technical Standards
- Frameworks
- Best Practices
- AI/ML Systems
- Technical Vision
- Technical Strategy
- Google Cloud AI
- CI/CD
- Logging
- Monitoring
- Computer Vision
Experience Level
- Technical Architect Grade 1 (Md8)
Benefits
- Individual and company-wide programs and trainings for people development.
- Support with individual solutions.
About the Company
- METRO.digital drives the technology for METRO, a leading international wholesaler specializing in food.
- We work on a wide range of products from e-commerce to checkout and delivery software.
- We build the future of wholesale with passion and ownership.
- We operate in a dynamic, multicultural environment with self-organizing teams in an agile setup.
- We foster strong teamwork, knowledge sharing, and continuous learning.
