Distributed Cloud | AI Data Architect

Job description

Company Description At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better. Job Description We are seeking a seasoned and strategic Data & AI Architect to lead the vision, design, and governance of our entire data science and machine learning ecosystem. This pivotal role combines data architecture expertise with MLOps principles to ensure our AI solutions are reliable, scalable, and integrated into core business systems. Key Responsibilities: Define and Govern AI/ML Architecture: Establish the end-to-end MLOps strategy and architecture for the entire ML lifecycle, covering experimentation, training, versioning, deployment, and monitoring of models. Infrastructure Design: Design and implement scalable infrastructure (cloud-native, utilizing Kubernetes/GKE/EKS/AKS) for model training, serving, and high-performance inference. Data Platform Integration: Collaborate with Data Engineering teams to design efficient Feature Stores, data labeling processes, and high-speed data integration between the Data Warehouse/Lake and ML pipelines. MLOps Implementation: Drive the adoption of robust CI/CD and automation frameworks for code and model deployment, ensuring model lineage, security, and reproducibility. Architecture Strategy: Evaluate and recommend new tools, platforms, and technologies to optimize the overall Data & AI platform for performance, cost-efficiency, and future growth. Leadership & Governance: Provide technical leadership and establish governance frameworks for data quality, model auditing, and responsible AI deployment. Qualifications 7+ years of progressive experience in Data Engineering, Software Architecture, or ML Engineering, with a clear focus on designing and scaling production-grade ML/AI systems. Mandatory hands-on expertise with MLOps principles and tools, including containerization (Docker) and orchestration (Kubernetes/K8s). Deep knowledge of at least one major Cloud platform (AWS, Azure, or GCP) and its respective ML and data services (e.g., Vertex AI, SageMaker, Azure ML, BigQuery/Synapse). Strong understanding of Data Architecture principles (Data Warehouse/Lake design, Data Modeling) and data governance. Highly Valued Skills: Experience with Feature Stores (e.g., Feast) or specialized data components for ML. Practical experience designing GenAI (RAG) or streaming data architectures. Relevant professional certifications in Cloud Architecture or MLOps. Proficiency in Python and solid understanding of modern software architecture (e.g., microservices, APIs). Excellent communication skills with the ability to define technical roadmaps and lead architectural discussions with senior stakeholders. Additional Information The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.