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Teradata
Senior Staff AI Engineer
Teradata
Pune•Hybrid•12+ Yrs•3 days ago
Job description
Hybrid
Overview
As a Senior Staff AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI Marketplace.
Responsibilities
- As a Senior Staff AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI Marketplace. You will work in a technically rich environment with talented peers, contributing to product strategy, architecture, and execution while influencing the evolution of Teradata’s AI capabilities.
- • • Design, architect, 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 architecture 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, architecture, 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.
- • • Bachelor’s degree in Computer Science or equivalent from a recognized institution.
- 12+ years of experience in backend services, distributed systems, or data platform development.
- Strong proficiency in Java, Go, or Python for service development.
- Deep understanding of design principles, distributed system patterns, and service architecture.
- Hands-on experience designing and developing RESTful APIs.
Qualifications
- Strong debugging, problem solving, and troubleshooting skills.
- Knowledge of public cloud platforms.
- Ability to work independently, drive workstreams, and deliver high quality outcomes.
- Strong communication and collaboration skills.
- A track record of influencing architecture 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.
Nice to have
- • • Familiarity with messaging systems such as Kafka.