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Senior AI Engineer

teradata.com Logo

Teradata

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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

Nice to have:

  • 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
What we offer:
  • People-first culture
  • Flexible work model
  • Focus on well-being
  • Inclusive environment

Additional Information:

Job Posted:
March 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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