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. 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.

What You'll Do: Shape the Way the World Understands Data   

We are looking for a Staff NLP & AI Agent Engineer to provide technical leadership in building scalable, production-grade AI agent systems. In this role, you will drive agent architecture, influence technical direction across teams, and ensure agent solutions meet high standards for quality, reliability, and maintainability. You will:

• Lead the architecture and design of intelligent AI agent systems, from concept through production.
• Define best practices for agent reasoning workflows, tool integration, and system interfaces.
• Drive the design of agent evaluation, benchmarking, and observability frameworks across teams.
• Identify systemic failure modes in agent behavior and guide long-term improvements.
• Collaborate with product, infrastructure, and data platform teams to align agent capabilities with business needs.
• Mentor senior and mid-level engineers on agent design, NLP techniques, and system tradeoffs.
• Influence technical roadmaps and contribute to strategic decisions related to AI agent platforms.

Who You'll Work With: Join Forces with the Best   

You’ll collaborate with a world-class team of AI architects, ML engineers, and domain experts at Silicon Valley, working together to build the next generation of enterprise AI systems.

You’ll also work cross-functionally with:

• Product managers and UX designers to craft agentic workflows that are intuitive and impactful.
• Domain specialists to ensure solutions align with real-world business problems in regulated industries.
• Infrastructure and platform teams responsible for training, evaluation, and scaling AI workloads.

This is a rare opportunity to shape foundational AI capabilities within a global, data-driven company.

This is a deeply collaborative environment where technical innovation meets real-world application, where your ideas are not only heard but implemented to shape the next generation of data interaction.  

Minimum Requirements

• Bachelor’s or Master’s degree in Computer Science, AI/ML, NLP, or a related field.
• 8+ years of software engineering experience, with deep expertise in NLP, ML, or AI systems.
• Proven experience designing and delivering complex LLM-based or agent-driven systems in production.
• Strong proficiency in Python and experience with large-scale or distributed system.
• Deep understanding of structured data systems, including SQL and enterprise data platforms.
• Demonstrated ability to lead technical initiatives across multiple teams. 

Preferred Qualifications

• Experience defining internal AI platforms or reusable agent frameworks.
• Background in evaluation methodology, benchmarking, or quality metrics for AI systems.
• Familiarity with governance, security, or compliance considerations for enterprise AI.

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