Solid product experience and an educational background from Tier - 1 universities are preferred.

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.

In this role, you will :

- 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.

Who You'll Work With :

You will be part of a high-performing engineering team building core components of Teradata's AI platform.

You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company.

The role offers opportunities to contribute directly to Teradata's AI product roadmap and technological direction.

What Makes You a Qualified Candidate :

- 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.

What You'll Bring :

- 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.