Our Company:

Ignite the Future of AI at Teradata! 

At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics™ platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems

 We’re building intelligent systems that go far beyond automation — they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you’ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.

 In this role, you’ll architect foundational components for production-grade AI systems — from agent frameworks and LLM pipelines to observability and evaluation layers that ensure reliability, accountability, and performance. You’ll be responsible not just for building models, but for making them measurable, debuggable, and trustworthy in real-world, high-stakes deployments.

 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 — from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.

 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.

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

As a staff 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 semantic search, text-to-SQL translation, and analytical task execution.
• Develop modular prompts, reasoning chains, and decision graphs tailored to complex enterprise use cases.
• Enhance agent performance through experimentation with LLMs, prompt tuning, and advanced reasoning workflows.
• Integrate agents with Teradata’s Model Context Protocol (MCP) to enable seamless interaction with model development pipelines.
• Build tools that allow agents to monitor training jobs, evaluate models, and interact with unstructured and structured data sources.
• Work on retrieval-augmented generation (RAG) pipelines and extend agents to downstream ML systems.

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 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 need 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: Skills in Action

• 8+ years of software engineering experience, with 5+ years focused on AI/ML, intelligent systems, or agent-based architectures. 

• 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. 

• Proficiency in Python and experience with vector databases, API integration, and orchestration tools. 

• Familiarity with agent evaluation metrics: correctness, latency, grounding, and tool use accuracy. 

• Experience leading AI projects from inception to deployment in a production setting. 

   What You Bring: Passion and Potential

• Master’s or Ph.D. in Computer Science, AI, or a related field, or equivalent industry experience. 

• Experience working with multimodal inputs, retrieval systems, or structured knowledge sources. 

• Hands-on experience with prompt engineering, function-calling agents, RAG patterns, and evaluation harnesses. 

• Prior work with Model Composition Protocol (MCP) or similar orchestration frameworks is a strong plus. 

• Excellent cross-team communication and stakeholder engagement skills. 

• Passion for shipping high-quality AI products that are safe, explainable, and valuable.

 #LI-VB1