Lead AI Engineer, Agentic Systems

About Our Company

At Teradata, we empower individuals by providing trusted information. Our technology revolutionizes the way data and analytics challenges are approached, and we are looking for talented people like you to help us deliver innovative solutions.

Your Role

As a Lead AI Engineer, you will create agentic systems that drive Teradata's next generation of AI-powered analytics. You will develop intelligent agents capable of reasoning over enterprise data, utilizing Vantage capabilities as tools, and completing complex analytical tasks independently.

You will design and build agent skills and plugins to enhance the Teradata agent framework, develop evaluation frameworks to assess agent performance, and ensure the reliability and efficiency of agent workflows operating on Vantage. Your contributions will allow customers to transition from querying Teradata to assigning analytical tasks to AI agents seamlessly.

Success will be measured by the deployment of agents that effectively resolve real customer challenges, achieving benchmarks in accuracy, latency, and reliability that exceed offerings from competitors like Snowflake Cortex or Databricks Genie.

Collaboration

You will be part of a dynamic team of AI engineers within Teradata's AI Apps, Analytics, and UX Engineering organization, tackling the most technically challenging projects on our product roadmap. Here, we focus on producing high-quality code rather than mere demos.

This position reports to the Senior Manager of AI Engineering and entails close collaboration with Staff AI Engineers, the Agent Platform team, and Product Management. You will utilize Teradata's premier data infrastructure while shaping the future of enterprise agents at scale.

Qualifications • 3-6 years of software engineering experience, including at least 2 years working with production-level agentic AI systems beyond RAG pipelines or chatbots. • Practical experience implementing agent skills, plugins, or tools to enhance an agent framework. • Strong proficiency in Python; experience with Go is an added bonus. • Familiarity with agent planning processes, tool-calling standards, function-calling APIs, and reliability prompt engineering.

What You Bring • Contributions to open-source agent frameworks or LLM tools, showcasing your commitment to public learning. • Experience in evaluating and benchmarking agent systems, including creating evaluation tests, gold datasets, and automated regression testing for agent behaviors. • Knowledge of Teradata Vantage, SQL query optimization, or equivalent competitive platforms (Snowflake, Databricks, BigQuery). • Understanding of vector databases, embedding models, and hybrid retrieval for managing agent memory and context. • Excellent written communication skills capable of conveying complex agent architectures plainly for both PMs and customer engineers. • A passion for leveraging AI to unlock potential for our teams, customers, and communities.

Why You Will Love Teradata

We foster a culture that puts people first because we understand that your well-being directly impacts our success. We promote a flexible work model that allows you to choose how, when, and where you work. Our commitment to diversity, equity, and inclusion is fundamental to creating an environment that recognizes and celebrates every individual.

Pay Rate: 143500.0000 - 179400.0000 - 215200.0000 Annually

The starting pay will consider your geographical location, internal equity, job-related knowledge, skills, and experience. Roles in sales may include commission based on achievement. All permanent positions are eligible for our annual incentive plans linked to financial and individual performance.

Employees in this role can also benefit from our comprehensive benefits program, which includes healthcare, life and disability insurance, a 401(k) retirement plan, and vacation programs. Detailed benefit information, along with eligibility criteria, will be shared during the hiring process.