Senior AI Engineer

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. 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.

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

Requirements

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; 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

Benefits

People-first culture; Flexible work model; Focus on well-being; Inclusive environment