Senior AI Engineer @ Bayer

1 day ago

Warszawa, Czech Republic Bayer Full time

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, AI, or a related field
  • Extensive experience in designing AI system architectures, preferably in agentic or autonomous AI domains
  • Strong understanding of AI frameworks, integration protocols, and system design principles.
  • Proficiency in architectural modeling tools and documentation practices
  • Excellent communication and leadership skills to guide cross-functional teams


Preferred Qualifications:

  • Experience with multi-agent systems, distributed AI architectures, and orchestration frameworks
  • Familiarity with cloud-native architectures and deployment strategies
  • Knowledge of responsible AI practices and governance frameworks

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

For Digital Hub Warsaw, we are looking for:

Senior AI Engineer

,[Define the overall Agentic AI system architecture and integration strategy for Agentic AI use cases, Design scalable and modular architectures for agentic AI systems, ensuring interoperability and extensibility., Establish integration patterns and protocols for connecting agentic AI components with enterprise systems, Collaborate with AI developers, data scientists, and platform engineers to align architecture with business goals, Evaluate and select appropriate technologies, frameworks, and tools for agentic AI implementation, Ensure compliance with security, privacy, and ethical standards in AI system design, Document architectural decisions, integration strategies, and system blueprints] Requirements: AI system architectures, AI frameworks, architectural modeling tools, Cloud Native Additionally: Sport subscription, Training budget, Private healthcare, International projects, Canteen, Free parking, In-house trainings, Modern office.

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