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About the role
As part of our team at Thermo Fisher Scientific, you will have the opportunity to contribute to meaningful work with a global impact. Your role will involve enabling customers to create a healthier, cleaner, and safer world. We are looking for a highly skilled Staff AI & Automation Engineer to lead the design, development, and scaling of enterprise AI/ML, Generative AI, and automation solutions. Your main focus will be on creating intelligent and scalable systems that drive business value through advanced analytics, automation, and innovation. Key Responsibilities: - Design and implement advanced AI/ML and Generative AI solutions for enterprise use cases - Lead end-to-end AI/ML solution development from ideation through deployment and scaling - Design and implement Retrieval-Augmented Generation (RAG) solutions including ingestion, embeddings, retrieval, and response generation - Identify and implement automation opportunities using RPA and workflow automation tools - Develop automation solutions using tools such as UiPath, Automation Anywhere, Blue Prism, and Power Automate - Integrate AI and automation solutions with enterprise applications, APIs, and data platforms - Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions - Ensure scalability, performance, and reliability of AI and automation systems - Drive innovation through the adoption of emerging technologies including IoT and digital twins Qualifications Required: - 9+ years of overall experience in Data, AI, and Automation domains - 4+ years of experience in AI/ML implementation - 2+ years of hands-on experience in automation implementation - Strong expertise in AI/ML and Generative AI concepts and implementations - Hands-on experience with RAG architectures and LLM-based solutions - Experience with automation/RPA tools (UiPath, Automation Anywhere, Blue Prism, Power Automate) - Cloud-native architecture experience on AWS and/or Azure - Experience with Kubernetes (EKS/AKS) and CI/CD tools (GitHub Actions, Azure DevOps, Jenkins) We offer you the chance to work on cutting-edge AI and automation projects, build intelligent solutions at an enterprise scale, and be part of a collaborative and innovation-driven environment. There are strong career growth opportunities awaiting you. As part of our team at Thermo Fisher Scientific, you will have the opportunity to contribute to meaningful work with a global impact. Your role will involve enabling customers to create a healthier, cleaner, and safer world. We are looking for a highly skilled Staff AI & Automation Engineer to lead the design, development, and scaling of enterprise AI/ML, Generative AI, and automation solutions. Your main focus will be on creating intelligent and scalable systems that drive business value through advanced analytics, automation, and innovation. Key Responsibilities: - Design and implement advanced AI/ML and Generative AI solutions for enterprise use cases - Lead end-to-end AI/ML solution development from ideation through deployment and scaling - Design and implement Retrieval-Augmented Generation (RAG) solutions including ingestion, embeddings, retrieval, and response generation - Identify and implement automation opportunities using RPA and workflow automation tools - Develop automation solutions using tools such as UiPath, Automation Anywhere, Blue Prism, and Power Automate - Integrate AI and automation solutions with enterprise applications, APIs, and data platforms - Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions - Ensure scalability, performance, and reliability of AI and automation systems - Drive innovation through the adoption of emerging technologies including IoT and digital twins Qualifications Required: - 9+ years of overall experience in Data, AI, and Automation domains - 4+ years of experience in AI/ML implementation - 2+ years of hands-on experience in automation implementation - Strong expertise in AI/ML and Generative AI concepts and implementations - Hands-on experience with RAG architectures and LLM-based solutions - Experience with automation/RPA tools (UiPath, Automation Anywhere, Blue Prism, Power Automate) - Cloud-native architecture experience on AWS and/or Azure - Experience with Kubernetes (EKS/AKS) and CI/CD tools (GitHub Actions, Azure DevOps, Jenkins) We offer you the chance to work on cutting-edge AI and automation projects, build intelligent solutions at an enterprise scale, and be part of a collaborative and innovation-driven environment. There are strong career growth opportunities awaiting you.
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