Senior Staff AI Engineer

About the job

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. We are seeking a Senior Staff AI Engineer to lead the design and development of intelligent, scalable, and cloud-native AI systems. This role focuses on building advanced agent-based architectures and runtime components that power next-generation AI and LLM-driven solutions. What You’ll Do This role will require you to: • Architect and implement high-performance, scalable features using Python and modern software engineering practices. • Design and develop LLM-powered agents and runtime orchestration systems for distributed environments. • Build intelligent automation and conversational capabilities using state of the art GenAI Agentic AI products. • Develop and maintain MCP server integrations, ensuring robust and efficient runtime execution. • Leverage containerization technologies (Docker, Kubernetes) for scalable, resilient deployments. • Utilize AI-assisted development tools (e.g., GitHub Copilot, MCP-integrated IDEs, Claude, GPT) to enhance productivity and code quality. • Collaborate cross-functionally to define, design, and deliver new features with a focus on performance, observability, and maintainability. • Support operational teams with troubleshooting, monitoring, and performance optimization. • Mentor junior engineers and contribute to a culture of innovation and continuous learning. What You’ll Bring You will be a preferred candidate if you have: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of software engineering experience specializing in Python, with working knowledge of additional languages including Java, Go, or C++. • Proven expertise in agent development, LLM integration, prompt engineering, and runtime systems. • Hands-on experience with MCP servers, vector databases, RAG architecture, and NLP frameworks. • Proficiency in containerization, CI/CD pipelines, and cloud-native deployments (AWS, Azure, or GCP). • Strong analytical and problem-solving skills in complex, distributed environments. • Excellent communication and documentation skills; ability to mentor and collaborate effectively.