Senior AI Engineer

Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You'll Do

We are looking for an experienced engineer to design, build, and improve intelligent AI agents that can understand natural language, reason over structured and unstructured data, and take appropriate actions in complex systems.

In this role, you will work on end-to-end agent capabilities, including language understanding, reasoning workflows, tool usage, and performance evaluation. You will collaborate closely with product, platform, and data teams to deliver robust, production-ready agent solutions.

You will:

• Design and implement NLP-driven AI agents that can interpret user intent, reason through tasks, and interact with external systems and data sources.
• Develop agent workflows involving multi-step reasoning, tool invocation, and structured outputs.
• Integrate agents with enterprise data platforms, APIs, and services, including structured data systems.
• Collaborate with cross-functional teams to define agent capabilities, usage scenarios, and system behavior.
• Build and maintain evaluation frameworks to measure agent quality, correctness, robustness, and reliability across different scenarios.
• Analyze agent behavior, logs, and failure cases to continuously improve performance and user experience.
• Contribute to best practices around prompt design, agent architecture, testing strategies, and observability.

Who You'll Work With

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.

What Makes You a Qualified Candidate

• Bachelor’s or Master’s degree in Computer Science, AI/ML, NLP, or a related field.
• 5+ years of experience in software engineering, with hands-on work in NLP or ML systems.
• Practical experience building or integrating LLM-powered applications or agents.
• Experience working with structured data systems, including SQL and relational databases.
• Solid understanding of system reliability, testing, and performance tradeoffs.

What You'll Bring

• Experience with agent frameworks such as LangChain, AutoGen, or similar systems.
• Prior experience delivering AI systems in production or enterprise environments.
• Exposure to agent observability, benchmarking, or automated testing pipelines.

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