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# AI Solutions Architect

- **Company:** Visium SA
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Governance, Data Infrastructure, Machine Learning, Azure Machine Learning, IT Architecture, AI Platforms, Machine Learning Operations, Azure Synapse Analytics, Databricks
- **Published:** September 16, 2026
- **Apply:** https://www.adzuna.de/details/5885844242

## About the Role

* 8+ years of experience in AI Solution Architecture, Machine Learning, Data, or Cloud Engineering roles.
 * Proven experience designing and delivering production-grade AI solutions (e.g., GenAI, RAG, AI agents, ML) on Azure.
 * Deep expertise in Azure AI services, Azure ML, Databricks, Synapse, and related cloud technologies.
 * Strong knowledge of AI/ML pipelines, MLOps, LLMOps, evaluation frameworks, and data governance.
 * Solid understanding of cloud infrastructure, networking, identity, security, monitoring, and deployment.
 * Experience defining AI architecture best practices and guiding solutions from PoC to production.
 * Excellent stakeholder management, communication, and technical leadership skills.
 * Experience mentoring engineering teams and influencing technical strategy.

## Description

As an AI Solutions Architect, you will design and deliver end-to-end AI solutions on top of the client's AI platform. You will bridge business needs and technical implementation, ensuring AI use cases are scalable, secure, and production-ready. Working in close partnership with the Data Platform Architect, you will define solution architectures, guide implementation, and drive AI best practices across the organization.

Your responsibilities will include:

 * Design and deliver end-to-end AI solutions, from proof of concept to production.
 * Architect AI use cases, including GenAI, RAG, AI agents, and classical ML solutions.
 * Collaborate with business and technical stakeholders to translate requirements into scalable solution designs.
 * Partner closely with the Data Platform Architect to leverage and evolve the underlying AI platform.
 * Define and promote AI architecture standards, best practices, and governance.
 * Guide engineering teams throughout implementation, ensuring quality, scalability, security, and compliance.
 * Evaluate emerging AI technologies and frameworks to continuously improve solution design.
 * Mentor engineers and provide technical leadership across AI initiatives.


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