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
• Cloud Native Deployment
• Containerization
• AI Systems

Qualifications

• 10+ years of experience in software engineering
• Bachelor’s or Master’s degree in Computer Science

Preferred Technologies

• Python
• Cloud Native Deployment
• Containerization
• AI Systems

About the company

Teradata is a leader in analytic data solutions, driven by the belief that data should be harnessed to drive business value. With a focus on innovation and collaboration, Teradata is committed to helping organizations manage and analyze large volumes of data seamlessly across cloud environments.