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

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 Designations
• 3 MVPs

Imagine being part of one of the most successful IT companies in Europe, leveraging the latest technologies with its customers to elevate them to the next level. Apply now at Devoteam M Cloud!

#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 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 training 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

• AI Solution Development: Design and implement end-to-end AI solutions on Azure. This includes developing machine learning models (e.g. predictive algorithms, classification, anomaly detection) and integrating them into cloud applications. You will write code (primarily in Python) to build and train models, leveraging Azure Machine Learning, Azure Databricks, or custom frameworks as needed.
• Build and deploy intelligent applications using Azure AI Foundry , leveraging prompt orchestration, grounding with Azure AI Search, and agent orchestration features for enterprise-scale GenAI use cases. Independently implement GenAI workflows using Foundry.
• Generative AI & LLMs: Play a key role in developing Generative AI solutions for clients. Experiment with and implement large language model (LLM) based applications using Azure OpenAI Service and frameworks like LangChain for building conversational agents or Retrieval-Augmented Generation (RAG) pipelines. For example, you might build a chatbot that uses an LLM with enterprise data or create a summarization service for insurance documents. Ensure prompt engineering and fine‑tuning are done in a robust, secure manner.
• Azure AI Services Integration: Utilize Azure Cognitive Services (e.g. for vision, speech, language) and Azure AI services to speed up solution development. For instance, integrate Azure Cognitive Search for semantic search in a knowledge retrieval solution, or use Form Recognizer in a document processing pipeline. Combine these services with custom ML where appropriate to meet client requirements.
• MLOps and Deployment: Take ownership of deploying and operationalizing ML models. You will containerize models or use Azure ML endpoints, set up CI/CD pipelines (using Azure DevOps or GitHub Actions) for automated model training and deployment, and implement monitoring for model performance drift. Ensure that the AI solutions can scale in production and adhere to DevOps best practices for reliability.
• Data Pipeline Collaboration: Work closely with Data Engineers to ensure the data needed for AI models is available, reliable, and well‑prepared. Contribute to data pipeline design for ML – e.g., help define feature engineering processes or streaming data ingestion for real‑time inference – so that models can be trained on and serve high-quality data.
• Cross‑Functional Collaboration: Collaborate with Solution Architects (like the ML/AI Architect) to translate high‑level architectural designs into concrete implementation tasks. Work alongside other specialists such as data scientists and cloud engineers to build secure, end‑to‑end AI solutions that integrate into the client’s ecosystem. This includes participating in code reviews, knowledge sharing, and troubleshooting sessions within the team.
• Client Support & Iteration: Support client teams in adopting and understanding the AI solutions. This could involve preparing technical documentation, demoing functionalities to stakeholders, and iterating on models based on user feedback or changing requirements. Ensure that AI solutions meet responsible AI guidelines and data privacy/security standards as expected by enterprise clients.

Qualifications

• Experience: 5+ years of hands‑on experience in AI/ML engineering or data science roles, with a focus on building and deploying solutions (not just research or academic projects). You should have taken multiple ML projects through the full lifecycle from data preparation to production deployment.
• Language Skills: fluent in German and English
• Azure & Data Skills: Strong experience with the Azure AI/Data ecosystem. This includes proficiency with Azure Machine Learning (for running experiments, managing models), familiarity with Azure Databricks or Spark for big data processing, and usage of Azure data services like Data Factory, Azure Data Lake, or Synapse Analytics. Experience integrating Azure Cognitive Services or Azure OpenAI into applications is a big plus.
• Experience using Azure AI Foundry for building LLM‑based applications or orchestrating AI workflows. Understanding of Foundry templates, grounding data sources, and integration with Azure OpenAI and Azure Search is expected.
• ML & Programming: Proficiency in Python and common ML/DL libraries (pandas, scikit‑learn, TensorFlow or PyTorch, etc.). Ability to write clean, efficient code for data processing and model training. Experience with NLP or computer vision techniques is helpful. You should also be comfortable with Git and collaborative coding practices.
• MLOps Knowledge: Practical understanding of MLOps and model lifecycle management. Experience setting up automated training pipelines, model versioning, CI/CD for ML, and using tools like MLflow for tracking experiments. Knowledge of Docker and Kubernetes (e.g., Azure Kubernetes Service) for deploying ML services is advantageous.
• Generative AI & LLMs: Exposure to Large Language Models or other generative AI technologies. You should understand how to use pre‑trained models (like GPT‑based models) and fine‑tune or prompt them for specific tasks. Direct experience with libraries/frameworks for LLMs (LangChain, Hugging Face Transformers, etc.) or vector databases for RAG is a strong plus, as many of our projects explore these emerging areas.
• Problem‑Solving & Communication: Strong problem‑solving skills with the ability to debug complex issues in data pipelines or model performance. Equally important are good communication skills – you can explain technical work to team members and occasionally to client technical staff. You work well in a team and can mentor more junior colleagues if they join (even though we currently hire only experienced professionals).
• Certifications: Azure and data/AI certifications are highly regarded. Ideally, you hold or are willing to obtain Microsoft Certified: Azure AI Engineer Associate (AI-102) certification, which demonstrates ability to design and implement Azure AI solutions. Other relevant certs like Azure Data Scientist (DP‑100) or Databricks Generative AI Engineer certification are a bonus. Devoteam will support you with time and resources to achieve certifications.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience). A master’s in AI/Data Science is a plus but not required.

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.

REQUISITOS

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: Build – Mastery – Innovate - Optimize

• 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, optimize, 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 optimization, 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.
• Take on a prominent role in the architecture and design of web solutions.
• Work with the wider development team to scope out and develop new web applications for existing services.
• Develop a flexible and well‑structured back end architecture.
• Participate in code reviews, testing, and quality assurance processes to ensure high‑quality code
• Help identify, upscale, resolve any technical issues and problems that might occur.
• Participate in code reviews, testing, and quality assurance to meet project goals and timelines.
• Provide technical guidance to junior developers and communicate effectively with clients and stakeholders.
• Set up and manage the computational infrastructure required to build, test and release applications.
• Develop and maintain tools to assist other developers in delivering their changes to production environments quickly and reliably.
• Establish and enforce development and coding best practices within the teams.
• Automate existing manual tasks to reduce delivery time and free up time for core development.
• Share knowledge and collaborate effectively with the rest of the Compute team based in other locations.

Levallois‑Perret . France | #Delivery Manager

At Devoteam , we help organisations unlock the full potential of the cloud . As a Microsoft Cloud Consultant , you guide customers through their cloud journey and help them build secure, scalable and futureproof platforms . You guide them through the complexities of Microsoft Azure and ensure their platform is engineered for long‑term success . You’ll join a team that thrives on innovation, collaboration and continuous learning —because shaping the future of cloud means staying ahead of it .

Your role

As a Cloud Consultant , you support customers in designing, managing and improving their cloud environments. You translate business needs into smart technical solutions and ensure the underlying platform is reliable, secure and ready for growth .

You will:

• Support customers with the management, integration and maintenance of their cloud platform, ensuring stability, security and operational excellence .
• Work on core infrastructure and technology services within the landing zone , helping customers build a strong and compliant cloud foundation .
• Collaborate closely with DevOps teams , who focus on development practices and platform usage, while you ensure the platform itself is robust and well‑architected .
• Collaborate with the Data & AI teams to ensure transformation projects provide the necessary foundations for advanced AI Foundry and Fabric implementations .
• Conduct feasibility studies for new cloud services or platform improvements, always keeping an eye on innovation and long‑term value .
• Think proactively about security, maintainability, flexibility and efficiency in every solution you design.

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 utilization, 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.

Levallois‑Perret . France | #Cloud & Devops Engineer

Vos Missions :

Lisboa . Portugal | #Quality Assurance Analyst

• Ability to elicit and document technical requirements;
• Preparation of use cases for validation of the solution under implementation;
• Manage and validate the requirements;
• Identify gaps and opportunities for process improvements;
• Analyze functional and technical specifications to ensure that the construction and definition of test cases is in agreement;
• Execution