Job
Description
As a Senior AI Engineer at Teradata, you will play a vital role in shaping the future of enterprise AI by designing and deploying advanced AI agents that integrate deeply with business operations. You will be part of a high-caliber team of AI researchers, engineers, and data scientists, working on cutting-edge AI solutions for large-scale enterprise environments. Your responsibilities will include architecting and implementing Agentic AI systems, building AI observability pipelines, designing data platform components, and integrating LLMs and multi-modal models into robust AI agents. You will collaborate closely with product, research, and MLOps teams to ensure smooth integration between AI agents and user-facing applications. Your role will involve implementing safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance. Additionally, you will stay current with AI research, especially in the areas of reasoning, planning, and autonomous systems, and contribute to the development of reliable and deterministic AI systems. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. A genuine excitement for AI and large language models (LLMs) is advantageous, along with 5+ years of experience in software architecture, backend systems, or AI infrastructure. Strong engineering skills in Python, Java, or Golang, along with hands-on experience in Machine learning & deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn, are essential. Your background should include experience with LLMs, transformers, AI observability tools, and modern data platform architecture. Familiarity with distributed systems, microservices, cloud platforms, and containerized environments like Docker and Kubernetes is preferred. Bonus points for research experience or contributions to open-source agentic frameworks. Teradata offers a people-first culture, flexible work model, focus on well-being, and commitment to Diversity, Equity, and Inclusion, making it an ideal workplace for passionate AI professionals.,