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 create an environment in which everybody can feel authentic, respected, and equally valued. Every day we strive to reflect our values through our people's unique capabilities, self-experiences, and aspirations. We intentionally seek diversity, to enable our people to bring their fullest potential out and encourage others to likewise do so. Our company wins when we leverage our capabilities to lead the cultural transformation in our business, positively impacting society.

Candidates who meet the requirements based on the job profile will be considered for employment regardless of physical disability, race, color, religion, sex, age, sexual orientation, or gender identity and will not be at a disadvantage if unemployed.

Application Period: 09/29/2026 - 10/12/2026 Reference Code: 889784

Division: Pharmaceuticals Location: Colombia : Cundinamarca : Bogota

Functional Area: Marketing Work Time: Full time

Employment Type: Regular

Contact Us Address E-Mail Bogota, Colombia

HROP_TA_[email protected]