Senior AI Engineer

As a Senior AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI stack. You will work in a technically rich environment with talented peers, contributing to product planning, design, and execution while influencing the evolution of Teradata's AI capabilities. You will be part of a high-performing engineering team building core components of Teradata's AI platform, collaborating closely with engineers, AI/ML specialists, product managers, cloud architects, and partner teams.

Responsibilities

Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance; Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features; Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability; Work with SQL and NoSQL databases to implement efficient data models and service access patterns; Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs); Use AI powered engineering tools to improve development quality, speed, and productivity; Mentor engineers, supporting them in technical planning, implementation, and best practices; Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure; Write unit and integration tests and participate in code reviews to uphold engineering excellence; Investigate production issues, ensuring timely and effective solutions; Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies

Requirements

Bachelor's degree in Computer Science or equivalent from a recognized institution; 5+ years of experience in backend services, distributed systems, or data platform development; Strong proficiency in Java, Go, or Python for service development; Good understanding of design principles, distributed system patterns, and service framework; Hands-on experience designing and developing RESTful APIs; Experience with SQL and NoSQL databases and data modelling; Strong debugging, problem solving, and troubleshooting skills; Experience with modern containerization and orchestration tools such as Kubernetes; Knowledge of public cloud platforms; Experience with AI productivity tools (e.g., GitHub Copilot); Ability to work independently, drive workstreams, and deliver high quality outcomes; Strong communication and collaboration skills

Nice to have

Familiarity with messaging systems such as Kafka; Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs; A track record of influencing design decisions and driving engineering best practices; The ability to mentor engineers and guide them through design, planning, and execution; A proactive mindset and comfort working in fast paced, dynamic environments; Curiosity, adaptability, and a passion for building impactful AI-driven products

Benefits

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