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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer-1 - **Company:** Bayer AG - **Location:** Warsaw, IN, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Information Engineering, Data Transformation, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Azure Machine Learning, Software Deployment, Google Cloud, Data Ingestion, Pytorch, Large Language Models, Cloudformation, Build Management, Scikit Learn, Terraform, Data Pipelines - **Published:** September 23, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2vldi65q ## About the Role * MSc/PhD in relevant field, or equivalent practical experience * Experience as AI/ML Engineer with proven delivery of AI systems. * Strong Python skills. * Knowledge of agentic frameworks (e.g., LangChain, crew.ai). * Experience with Infrastructure as Code (e.g. Terraform, Cloud formation). Preferably Terraform + AWS * Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Exposure to NLP, CV, and broader AI techniques. * Experience with cloud platforms (preferably AWS) and ML services (e.g., SageMaker). * Strong analytical, problem-solving, and communication skills. * Experience in Agile environments. Preferred: * AI/ML/cloud certifications (e.g., AWS ML, Azure AI Engineer) ## Description Senior AI Engineer champions the architecture, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role leverage extensive knowledge of large language models, machine learning, natural language processing, computer vision, and other AI technologies to solve complex business challenges and foster collaboration across the organization. Your Tasks And Responsibilities AI Solutions * Lead design and delivery of AI/ML and agentic systems solving complex business problems. * Build and deploy scalable AI products aligned with business goals. * Drive adoption of cloud technologies (AWS, Azure, GCP) for ML/AI industrialization. * Ensure reliability, scalability, and performance of AI systems in production. Data Engineering * Design and oversee scalable data pipelines and architectures. * Lead data ingestion, preprocessing, and transformation across hybrid environments. * Implement data quality, validation, and drift detection processes. Data Science * Guide model development, evaluation, and optimization. * Drive experimentation and continuous improvement to enhance model performance. Integration & Deployment * Integrate AI solutions into existing systems and workflows. * Oversee production deployments ensuring best practices and operational excellence. Collaboration & Communication * Maintain clear documentation of AI systems and processes. * Collaborate with stakeholders to gather requirements and deliver solutions. * Communicate complex technical concepts to both technical and business audiences. Innovation & Leadership * Mentor team members and support skill development. * Stay up to date with AI trends and drive innovation. * Conduct research to inform future AI initiatives. ## Related Videos - [Leading efficiency, empathy, and the human experience with AI](https://www.wearedevelopers.com/videos/1699-leading-efficiency-empathy-and-the-human-experience-with-ai) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [AI, DEI & Community: What’s Next for Talent Acquisition in 2025?](https://www.wearedevelopers.com/videos/1315-ai-dei-community-what-s-next-for-talent-acquisition-in-2025) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Got AI ideas but no money? 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