AI Data Architect (m/f/d)

AI Data Architect (m/f/d) WELCOME TO BASF Digital Hub Madrid attracts grows and develops passionate people who will meaningfully impact the digital future of BASF. Come join us and be a part of our digitalization journey. Describe your Product Mission here / objective of the role The AI Automation Enablement team designs and engineers scalable AI and automation solutions that deliver measurable business value. By combining strong architecture engineering excellence and industrialization capabilities we enable BASF to turn opportunities into production-ready systems - consistently reliably and at scale. About the Job AI Data Architect in a project-oriented team who designs scalable enterprise-grade data architectures and leads the engineering of robust data platforms collaborating across domains and teams to enable the development and industrialization of AI solutions that deliver measurable business value. RESPONSIBILITIES - Define and own the end-to-end data architecture for AI solutions from ingestion and storage to serving layers powering models and analytics (e.g. batch pipelines real-time APIs). - Design the data foundations for compound AI systems including retrieval architectures (e.g. RAG) vector and knowledge stores and feature/embedding layers. - Establish data modelling standards semantic layers and reusable reference architectures across workloads (batch streaming real-time analytical AI-driven) across the organization. - Define and enforce governance frameworks for data quality lineage security and compliance ensuring trustworthy and well-managed data products. - Set architectural guidelines and best practices for scalable data platforms and pipelines and ensure their consistent adoption - Provide technical leadership and guidance to data engineers data scientists and business partners on data and AI architecture. - Evaluate emerging technologies and define the strategic roadmap for the data and AI platform. - Stay current with trends and best practices in data architecture AI and cloud platforms. QUALIFICATIONS - Bachelors degree or Masters in computer science Information Systems or a related field. - 5+ years of experience in data engineering and data architecture including designing data models platforms and end-to-end data pipelines. Proven experience defining data architecture for AI/analytics solutions on a major cloud platform (Azure preferred AWS a plus) and Big Data architectures. - Data architecture and modelling for relational and NoSQL systems including modern storage paradigms (e.g. object storage lakehouse warehouse). - Design of scalable data platforms and architectural patterns (e.g. Lakehouse Data Mesh Medallion) including governance lineage and quality considerations. - Architecture of compound AI systems including data layers for AI solutions (e.g. RAG GraphRAG) vector stores graph databases and embedding pipelines. - Strong programming skills in Python including asynchronous programming (asyncio) and data processing. - Apache Spark and Databricks platform - Cloud data platform expertise preferably Azure Could and Azure data platform services. - Streaming and event-driven architectures using streaming services such as RabbitMQ or Apache Kafka - Big data and large-scale compute architectures including batch and real-time processing patterns. - Design of microservices and distributed systems including API-based data services. - Containerization and deployment practices using Docker (and Kubernetes as a plus) - Data security privacy and compliance (e.g. GDPR) including encryption access control and data masking/anonymization - Software engineering practices including Agile methodologies (Scrum Kanban) and DevOps (CI/CD with GitHub Actions) - Container orchestration platforms Kubernetes - Graph database technologies and data modelling - Workflow orchestration and task management frameworks such as Apache Airflow and Celery - AI/ML platforms and cloud AI services - LLM and agentic solution patterns including prompt engineering and orchestration of AI agents. - MLOps practices including model lifecycle management CI/CD for ML deployment monitoring and retraining pipelines. - Strong problem-solving skills with the ability to work both independently and collaboratively in cross-functional teams. - Excellent communication and stakeholder-management skills with the ability to translate business needs into technical architectures and influence decision-making across teams. WHAT WE OFFER - A secure work environment because your health safety and wellbeing is always our top priority. - Flexible work schedule and Home-office options so that you can balance your working life and private life. - Learning and development opportunities - 25 holiday days per year - 5 additional days (readjustment) - A collaborative trustful and innovative work environment - Being part of an international team and work in global projects - Relocation assistance to Madrid provided At BASF the chemistry is right Because we are counting on innovative solutions sustainable actions connected thinking and on you become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender age origin sexual orientation disability or belief. At BASF we are committed to upholding and ensuring compliance with company standards related to quality environment health safety and energy in line with our global guidelines. We actively promote a culture of prevention and continuous improvement encouraging collaboration in initiatives related to quality environmental protection health safety and energy performance. We foster responsible energy use promoting efficiency in daily operations and supporting the identification of improvement projects and energy-saving opportunities.