Senior Full Stack Engineer AI Platform

Role Overview: At Teradata, you will have the opportunity to shape the future of enterprise AI from the ground up by designing and deploying advanced AI agents that integrate deeply with business operations. You will work alongside a high-caliber team of AI researchers, engineers, and data scientists to tackle some of the hardest problems in AI and enterprise software. Key Responsibilities: - Design and prototype interfaces for interacting with autonomous agents - Implement responsive, accessible, and explainable UI components for visualizing AI decisions - Partner with AI researchers and software engineers to support emerging agent capabilities - Conduct usability testing with humans-in-the-loop scenarios - Drive UX best practices for safety, trust calibration, and explainability in intelligent systems - Explore and implement planning systems, vector databases, or memory architectures - Collaborate with AI researchers and software engineers to ensure interfaces evolve alongside emerging agent capabilities - Develop native notebook experiences for seamless interaction with AI workflows - Implement unit tests for UI components to ensure reliability and maintain high-quality user experiences - Embrace DevOps practices for rapid iteration and smooth deployment Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field - Experience in UI/UX design and frontend engineering - Proficiency in Angular, TypeScript, Figma, and design systems - Strong understanding of human-computer interaction (HCI) - Knowledgeable about open-source tools and technologies - Passion for AI/ML and building smart, agent-driven interfaces - Strong system design skills and understanding of distributed systems - Experience in software development with Python, Go, or Java - Familiarity with containerized environments like Docker and Kubernetes - Experience with CI/CD processes for model training, testing, and deployment - Familiarity with monitoring and scaling ML services on Kubernetes clusters (Note: The additional details about the company have been omitted as they were not provided in the job description.),