AI Solutions & Data Architecture Analyst

AI Solutions & Data Architecture Analyst   YOUR TASKS AND RESPONSIBILITIES Lead the execution of Bayer's AI and Data strategy by designing the enterprise data architecture and enabling scalable AI capabilities across the organization. Partner closely with the AI & Digital Head to translate business priorities into AI-enabled solutions by ensuring data readiness, technology integration, intelligent automation, AI agents and scalable digital products that generate measurable business value. Drive the end-to-end delivery of AI initiatives, from technical feasibility and architecture design to deployment, adoption and continuous optimization. Define and evolve enterprise data architecture. Ensure interoperability across business platforms and data sources. Lead enterprise data integration strategy. Define data standards, quality and governance. Lead  AI use cases from concept to deployment. Translate business priorities into scalable AI solutions. Coordinate delivery with Business, IT and external partners. Ensure production-ready AI solutions. Design and implement AI Agents. Identify automation opportunities. Evaluate Agentic AI capabilities. Promote reusable AI services. Drive Microsoft AI ecosystem adoption. Lead AI integrations and APIs. Recommend scalable technology architecture. Execute the Enterprise AI Portfolio. Assess technical feasibility. Track implementation milestones. Support business value realization. Evaluate emerging AI technologies. Ensure Responsible AI, privacy and compliance. AI use cases deployed. Business value generated. Enterprise data readiness. AI adoption. Automation impact. Platform scalability. Reusable AI capabilities. WHO YOU ARE Bachelor’s degree in computer science, Systems Engineering, Software Engineering, Data Engineering or related field. Master’s or certification in Data Science, AI/ML or Cloud Architecture (e.g., Azure AI/Data Engineer) a plus. 3 - 5 years of experience in data architecture, AI/ML engineering or enterprise technology roles, ideally in pharma or regulated industries; hands-on experience designing and deploying production AI solutions. Advanced English proficiency. Data architecture & modeling · Cloud platforms (Azure preferred) · API design & integration · Systems architecture · Software engineering fundamentals. Machine learning fundamentals · Agentic AI design patterns · MLOps / LLMOps · Data governance & quality frameworks · Prompt engineering. Technical leadership · Cross-functional delivery · Vendor & partner management · Structured problem-solving WHAT WE OFFER YOU Hybrid Working Style. Competitive salary. Attractive benefits Package. Wide range of development opportunities. Good working conditions and comfortable working environment. At Bayer, we believe in diversity, equity, and inclusion. We aim to…