Autonomous AI Engineer for Enterprise Agents

Teradata; Denver (CO); On-site; USD 180,000 - 260,000; Full time

Job summary

Teradata is seeking an experienced AI architect to design and implement autonomous AI agents at enterprise scale, integrating agent-based architectures and governance. You will collaborate with researchers, platform teams, and product leadership to ship cloud-native AI capabilities that address real-world production needs.

You will build runtime components, ensure safety, and drive AI tooling across MCP servers, vector stores, and NLP frameworks while guiding memory and observability design.

Qualifications

• 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.

Responsibilities

• Design and build autonomous AI systems at enterprise scale.
• Lead scalable, secure cloud-native AI frameworks.
• Build runtime components and automation for GenAI solutions.
• Collaborate with researchers, platform teams, and leadership to ship capabilities.
• Enable customers with powerful, governed AI agents delivering value.

Skills

Autonomous AI agents

Agent-based architectures

Governance & safety in AI

Cross-functional collaboration

Generative AI & automation

Education

CS/Engineering/DS degree

Tools

MCP servers

Vector databases

RAG systems

Graph memory

NLP frameworks

Job description

Teradata is seeking an experienced AI architect to design and implement autonomous AI agents at enterprise scale, integrating agent-based architectures and governance. You will collaborate with researchers, platform teams, and product leadership to ship cloud-native AI capabilities that address real-world production needs.

You will build runtime components, ensure safety, and drive AI tooling across MCP servers, vector stores, and NLP frameworks while guiding memory and observability design.