Senior Microsoft Azure AI/ML Architect (m/w/d), Permanent contract

Benefits

• Modern offices in prime locations in Munich and Frankfurt
• Flexible hybrid working with the option to customize your working hours 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

Job Description

• 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 modelling 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.

Qualifications

• Proven Experience: 7+ years of experience in data analytics and software development, with at least 4–5 years in designing and implementing ML/AI solutions at scale. A track record of delivering production‑grade AI projects for enterprise clients is essential (this is a senior role and not suitable for junior candidates).
• Language Skills: fluent in German and English
• 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 DevOps processes.
• Leadership & Communication: Excellent leadership and interpersonal skills. Able to interface with client stakeholders to explain complex AI concepts in business terms, gather requirements, and drive adoption. Experience leading technical teams or mentoring engineers in a project setting.
• AI Knowledge: Broad knowledge of machine learning and AI techniques (supervised, unsupervised learning, time‑series, etc.) and familiarity with deep learning and NLP. Exposure to Generative AI and LLMs is highly desired – you should understand concepts like prompt engineering and have curiosity about applying these in enterprise scenarios. Deep understanding of Azure AI Foundry concepts (e.g., grounding, orchestration, Azure Agents) and ability to evaluate where it fits in a solution landscape.
• Certifications: Relevant certifications are a strong plus, demonstrating your expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect Expert and Azure AI Engineer Associate (AI‑102). Certification in machine learning frameworks or platforms (e.g. Databricks Certified Generative AI Engineer Associate) is also valued. Devoteam supports continuous learning and certification attainment.
• Education: A Bachelor’s or Master’s degree in Computer Science, Data Science, or related field is preferred (or equivalent professional experience).

Additional Information

You will be part of a collaborative, remote‑friendly team that values continuous learning and delivering impact through modern cloud‑native data solutions.

The Role: We are seeking a highly skilled Senior Azure Cloud DevOps Engineer with deep experience (3‑5 years) in automation, Azure‑native services, and modern DevOps practices.

You will build and manage cloud‑native solutions and automated deployment pipelines using Azure DevOps, GitHub Actions, and YAML to enhance delivery speed, system reliability, and operational efficiency.

You will design secure, scalable architectures across the Azure platform, while contributing to a high‑performance engineering culture within an Agile/Scrum environment.

This position requires strong hands‑on expertise in automation scripting and the ability to proactively improve system monitoring and observability.

Key Responsibilities

• Architect and Implement: Build robust Azure cloud solutions, leveraging services such as Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), API management, SQL Database and various Azure‑native components.
• DevOps Mastery: Define, optimise, and maintain Azure DevOps and GitHub Actions CI/CD pipelines, using Infrastructure as Code with Terraform, Bicep, and PowerShell scripting to streamline deployments, configuration updates, maintenance, and provisioning tasks.
• Innovate: Conduct proof‑of‑concepts for emerging Azure technologies and Gen AI applications.
• Platform integration: Integrate and manage key platform services, including Storage, Networking, Identity, and Monitoring, ensuring seamless end‑to‑end operations.
• Well‑Architected: Implement secure, scalable designs following best practices for availability, performance optimisation, and cloud security.
• Collaboration: Work within Agile/Scrum teams, partnering with developers, cloud engineers, and stakeholders to deliver high‑quality, cloud‑ready solutions.
• Analytical skills: Diagnose and resolve complex issues in cloud and DevOps environments, applying strong problem‑solving and analytical skills.
• Optimize: Ensure solutions are cost‑effective, high‑performing, and reliably secure.

Data Consultant

We are seeking our next talents to work on data‑related projects (at Strategy, Business, and Operations levels).

The ideal candidate will have a deep understanding of data analysis, management, and visualization, coupled with strong problem‑solving and communication skills.

The Data Consultant will collaborate with clients and internal teams to assess data needs, develop strategies for effective data utilisation, and implement solutions that drive business insights.

Responsibilities:

• Analyze complex datasets to identify trends, patterns, and insights.
• Interpret data to provide actionable recommendations for business improvement.
• Work closely with clients to understand their business goals and data requirements.
• Collaborate on the development of data strategies aligned with client objectives.
• Design and implement data management processes to ensure data accuracy, completeness, and security.
• Develop and maintain data documentation and metadata.
• Create visually appealing and insightful reports and dashboards.
• Communicate data findings effectively to both technical and non‑technical stakeholders.
• Identify and resolve data‑related issues and challenges.
• Propose innovative solutions to improve data processes and systems.
• Stay updated on industry trends and advancements in data technologies.
• Provide guidance on the selection and implementation of data tools and technologies.