Sr Software AI Engineer

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 will do :

In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.

Job Responsibilities :

• Design, develop, and scale intelligent software systems that power autonomous AI agents capable of reasoning, planning, acting, and learning in real-world environments.
• Lead the implementation of core Agentic AI components — including agent memory, context-aware planning, multi-step tool use, and self-reflective behavior loops.
• Architect robust, cloud-native backends that support high-throughput agent pipelines across major Cloud Service Providers (AWS, Azure, GCP), ensuring best-in-class observability, fault tolerance, and scalability.
• Build seamless integrations with large language models (LLMs) such as GPT-4, Claude, Gemini, or open-source models — using advanced techniques like function calling, dynamic prompting, and multi-agent orchestration.
• Design and implement standardized context management and sharing using the Model Context Protocol (MCP) to enable consistent, interoperable agent and tool interactions.
• Develop scalable APIs and services to connect agents with internal tools, vector databases, RAG pipelines, and external APIs.
• Own technical delivery of major agent-related features, leading design reviews, code quality standards, and engineering best practices.
• Collaborate cross-functionally with researchers, ML engineers, product managers, and UX teams to translate ideas into intelligent, performant, and production-ready systems.
• Define and implement testing strategies to validate agentic behavior in both deterministic and probabilistic conditions.
• Guide junior engineers and peers by mentoring, unblocking challenges, and championing a culture of technical excellence.
• Continuously evaluate emerging frameworks, libraries, and research to drive innovation in our Agentic AI stack.

What makes you a qualified candidate :

What you will bring :

Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Skills Required

Java, Go, Gcp, Terraform, Docker, Ansible, Azure, Kubernetes, Python, Aws