Senior Staff AI Engineer

About the job

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.

Requirements

• Python
• Java
• Go
• C++
• AI
• NLP
• Containerization
• Cloud-native deployments

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Preferred Technologies

• Python
• Java
• Go
• C++
• AI
• NLP
• Containerization
• Cloud-native deployments

About the 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. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.