Senior AI Engineer

Original Post

**Our Company** Teradata is the AI platform built for the autonomous era. Our AI \+ Knowledge Platform and multifaceted AI Services help enterprises deploy solutions with deep domain expertise and full enterprise context. Wherever data resides—cloud, on\-prem, or hybrid—Teradata connects and scales to deliver the performance AI needs. **What You’ll 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’ll 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. \#LI\-PB1