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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Applied Scientist, Agentic WorkSpaces AI - **Company:** Amazon.com, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $183,800.0 - $248,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Vision, Business Software, C++ (Programming Language), Computer Literacy, Python (Programming Language), Machine Learning, Large Language Models, Deep Learning - **Published:** August 9, 2026 - **Apply:** https://www.juju.com/job/00000000gmao2o ## About the Role 5+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Expertise in computer vision or computer-use automation (e.g., UI interaction, screen understanding) to tackle unique legacy system challenges. - Experience fine-tuning LLMs for domain-specific applications, optimizing for efficiency, safety, and enterprise requirements. ## Description * Architect agentic AI systems that leverage LLMs, computer vision, and computer-use techniques to interact with legacy applications within AWS WorkSpaces. * Build evaluation frameworks to quantify agent performance, reliability, and user impact in real-world, unstructured environments. * Fine-tune and deploy domain-specific LLMs for workspace use cases, ensuring efficiency, safety, and alignment with enterprise requirements. * Collaborate cross-functionally with peer teams (e.g., troubleshooting, onboarding, security) to embed AI capabilities across the WorkSpaces product suite-from strategic visioning to hands-on implementation. * Drive operational excellence by delivering high-quality, production-ready science components that meet Amazon's standards for robustness, reproducibility, and scalability. About the team Agentic WorkSpaces AI is the core science team within the Agentic WorkSpaces organization, dedicated to building LLM-driven agentic solutions that empower AWS WorkSpaces users-particularly in legacy application environments where modern AI struggles. We design, develop, and deploy intelligent agents leveraging LLMs, computer vision, and computer use to automate complex workflows. Collaborating closely with peer teams across troubleshooting, onboarding, and other critical areas, we integrate AI capabilities that enhance the entire WorkSpaces experience. Our work balances rapid innovation with rigorous evaluation and ethical alignment, delivering scalable, enterprise-ready solutions for millions of users worldwide. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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