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:

As a Senior AI Engineer, you will be a key contributor to Teradata’s AI platform and product initiatives. You will design, build, and scale high‑quality AI-powered systems—ranging from agentic AI solutions and AI marketplaces to core platform capabilities such as RAG, vector search, and developer-facing AI tools. You will work in a technically deep, fast-paced environment, collaborating closely with platform, product, and engineering teams to shape Teradata’s next-generation AI capabilities.

Key Responsibilities

• Design, develop, and maintain scalable, reliable, and high-performance services and applications for AI-driven platforms.
• Apply and experiment with AI/ML technologies, including large language models (LLMs), agentic AI, and retrieval-augmented generation (RAG) pipelines.
• Build and integrate robust RESTful APIs with a strong focus on security, data consistency, and maintainability.
• Design and implement components such as vector stores, semantic search, AI agents, orchestration workflows, and evaluation frameworks where applicable.  
• Collaborate with cross-functional teams (AI/ML engineers, product managers, architects, and cloud engineers) to deliver end-to-end features aligned with product roadmaps.  
• Mentor and guide engineers through technical planning, design reviews, implementation, and best practices.  
• Identify, diagnose, and resolve system performance and reliability issues across distributed systems.  
• Write unit and integration tests, participate in code reviews, and uphold engineering excellence.  
• Stay current with emerging trends in AI/ML, cloud-native architectures, and enterprise-scale AI systems.  

What makes you a qualified candidate:

• Bachelor’s degree in Computer Science, Engineering, or an equivalent field from a recognized institution.  
• 4+ years of experience in backend services, distributed systems, or data platform development.  
• Strong proficiency in Java, Go, or Python for service and platform development.  
• Solid understanding of distributed system design principles, scalability, and cloud-native architectures.  
• Hands-on experience working with SQL and NoSQL data stores and designing efficient data access patterns.  

What you will bring:

• Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.
• Exposure to agentic AI patterns such as tool calling, planning, memory, and multi-step reasoning.
• Experience building or operating AI systems in cloud environments (AWS, Azure, or GCP).
• Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.

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