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# AI Engineer

- **Company:** Teradata
- **Location:** Denver, CO, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, C++ (Programming Language), Cloud Computing, Cloud Engineering, Distributed Systems, Memory Management, Interoperability, Python (Programming Language), Open Source Technology, Software Architecture, Teradata SQL, AI Infrastructure, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Multi-Cloud, Generative AI, Backend, Agentic-AI, Build Management, Containerization, Information Technology, Api Design, Network Server, Golang
- **Published:** October 28, 2026
- **Apply:** https://dejobs.org/x/x/6EB3B51FF7F24A4BB8429039B06FAAB2/job/

## About the Role

* Proven experience designing, developing, and deploying autonomous AI agents at scale.
 * Expertise in building agent-based architectures and runtime components for next-generation AI/LLM systems.
 * Hands-on experience implementing governance, safety, and compliance in agentic AI environments.
 * Ability to partner effectively with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.
 * Strong technical ability with intelligent automation, generative AI, and agentic system design.

What You'll Bring

 * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 * Experience in software architecture, backend development, or AI infrastructure, with strong Python skills and familiarity with Java, Go, and C++.
 * Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling.
 * Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks.
 * Ability to design core agentic capabilities such as memory management, context handling, observability, and identity.
 * Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP).
 * Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures.
 * Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams.
 * Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate.

## Description

* Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology.
 * Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments.
 * Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions.
 * Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata's data and AI platform.
 * Succeed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value.

Who You'll Work With

On our team, we…

 * Are part of Teradata's global engineering organization, responsible for building the technologies that power VantageCloud, our unified data and AI platform.
 * Operate at the intersection of cloud computing, advanced analytics, and AI-driven automation to help enterprises unify and analyze data across hybrid and multi-cloud environments.
 * Solve highly complex challenges in scalability, performance, interoperability, and intelligent automation to enable customers to turn data into insights and innovation.
 * Collaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.
 * This position reports into the AI engineering leadership team within Teradata's global engineering organization.