Senior Microsoft Azure Ai/ml Architect

Do you want to not only experience but actively shape the unique **DNA**of **Microsoft**? Then **Devoteam M**Cloud**is the right place for you Our core business is cloud-based enterprise customer projects, where we drive the most modern Microsoft technologies. The building blocks that distinguish us: - 2,100 Microsoft certifications completed in 2022 - 1,000 Microsoft experts in EMEA - 600 customers - 25 years of industry experience - 18 Advanced Specializations - including "Azure Virtual Desktop Advanced Specialization" and "Modernization of Web Applications to Microsoft Azure" - 6 Solution Partner Designations3 MVPs Creative Tech For Better Change Your Benefits**:In addition to our revolutionary New Way of Work culture, you'll enjoy**: - **Modern offices**in prime locations in Munich, Frankfurt, and Stuttgart - **Flexible remote or hybrid working**with the option to customize your working hours and locations to your individual needs - Our **Devoteam Academy**offers a wide range of certified trainings and language courses - **International development opportunities**to boost your career at Devoteam - **Gaming lounge**for your creative break between meetings and calls - **Get-together parties and team events**for regular exchange and fun with your colleagues - **Employee referral bonuses**for attracting new employees - **Modern IT equipment**: - choose the product that suits you best from a variety of options - **Corporate benefits**with a large selection of numerous offers for almost every area - **"Jobrad" (company bike)**offer with attractive tax advantages for you - **Company pension scheme, direct insurance, and capital-forming benefits**are available to you as additional services - **Integration Day including mentoring programs**for your perfect start at Devoteam - **Lead AI Solution Architecture**:Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients’ existing data platforms and infrastructure. - **Client Engagement**:Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive maintenance in manufacturing, drug discovery insights in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. - **Technical Leadership**:Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure quality. - **MLOps & Best Practices**:Establish and enforce MLOps best practices for the team, including reproducible workflows, continuous integration/continuous delivery (CI/CD) for ML models, automated testing, and monitoring of model performance in production. Ensure that solutions are scalable and maintainable over time. - **Innovation & Generative AI**:Stay abreast of the latest AI trends and Azure services. Evaluate new technologies - from Azure Cognitive Services and Azure OpenAI to emerging open-source frameworks for **LLMs**(Large Language Models) and **RAG**(Retrieval-Augmented Generation). Incorporate generative AI capabilities where relevant to enhance client solutions (e.g. intelligent document processing with GPT models). - **Cross-Project Impact**:Oversee and provide guidance on multiple AI projects in parallel, ensuring architectural consistency and reuse of best practices across engagements. Act as the go-to expert for solving complex technical problems and making high-level design decisions. - **Internal Capability Building**:Contribute to Devoteam’s internal Data & AI capability. Develop reusable architecture blueprints, accelerators, and reference implementations for AI on Azure. Lead knowledge-sharing sessions and training to upskill colleagues, and support the growth of a community of practice around AI/ML. - **Azure Expertise**:Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure OpenAI and Azure AI Foundry. Ability to architect solutions that leverage these services cohesively. - **Architectural Skills**:Strong skills in system design and integration. Comfortable defining solution architectures that encompass data ingestion, feature engineering, model training, deployment (APIs, containers), and monitoring. Familiarity with designing **microservices**or cloud data pipelines is a plus. - **MLOps & Software Engineering**:Solid understanding of MLOps principles and experience implementing ML lifecycle management (source control, CI/CD for models, model registries, etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow/PyTorch) and experience with code review and Dev