Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
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.
Strong technical ability with intelligent automation, generative AI, and agentic system design.
Responsibilities
Design and build intelligent, autonomous AI systems for enterprise-scale technology.
Lead the development of scalable, secure, cloud-native frameworks for AI agents.
Create foundational runtime components and infrastructure for GenAI and Agentic AI solutions.
Collaborate with AI researchers and product leadership to transition advanced capabilities to production.
Enable enterprise customers to leverage resilient AI agents that drive measurable business value.
Benefits
Opportunity to work at the forefront of AI technology and innovation.
Collaborative environment with cross-functional teams.
Access to advanced tools and resources for professional development.
Engagement in solving complex challenges in AI and cloud computing.
Full Job Description
What You'll Do
In this role you will...
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.
What Makes You a Qualified Candidate
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.
