Job
Description
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
In this role you will lead a critical and highly visible function within Teradata AI Applications Platform. As an Agentic AI Engineer at Teradata, you’ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.
You will design and implement autonomous AI agents for enterprise level use cases supporting varied industry applications, like customer 360, real-time decisioning, semantic search, text-to-SQL translation, and analytical task execution.
You’ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software.
If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.
Who You'll work with
You’ll collaborate with a world-class team of AI architects, engineers, and domain experts in 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 working 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
5+ years of software engineering experience, with 1+ years focused on AI/ML, intelligent systems, or agent-based architectures.
Over 5 years of design and development experience in Java or similar technology.
Deep understanding of software design principles and scalable architecture patterns.
Strong experience with LLM APIs (e.g., OpenAI, Claude, Gemini) and agentic frameworks (e.g., AutoGen, LangGraph, AgentBuilder, CrewAI).
Proven ability to build complex multi-step workflows using prompt pipelines, tools, and adaptive reasoning.
Familiarity with agent evaluation metrics: correctness, latency, grounding, and tool use accuracy.
Experience leading AI projects from inception to deployment in a production setting.
Strong Java (or similar programming languages like Go, etc) programming skills with solid understanding of data structures. Proficient in concepts like Multithreading.
Good knowledge of SQL and Relational Database Management Systems (RDBMS).
What You'll Bring
BS or MS degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
A solid foundation in software engineering principles, including system design, data structures, algorithms, and distributed computing.
Proven ability to work in a fast-paced, innovation-driven environment where engineers take full ownership from concept to deployment.
Experience deploying and operating intelligent systems in production environments with live users and evolving requirements.
Curiosity, creativity, and the mindset of a builder — someone who thrives at the intersection of AI research and real-world impact .
Desire to help shape the future of software agents by building scalable, reliable, and intelligent backends that unlock new capabilities in autonomy and adaptability.
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