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Senior AI Engineer

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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:

At Teradata, we empower people to thrive through better information. We’ve built the most comprehensive cloud analytics and data platform for AI—designed to deliver harmonized data, trusted AI, and accelerated innovation. This enables our customers, and their customers, to make smarter, more confident decisions. Our platform is trusted by the world’s leading enterprises across every major industry to enhance business performance, elevate customer experiences, and unify data across the organization. We’re pushing the boundaries of Artificial Intelligence, especially in autonomous and agentic systems. Our intelligent technologies go far beyond automation—they observe, reason, adapt, and drive complex decision-making at enterprise scale. If you're passionate about building intelligent systems that are powerful, observable, resilient, and production-ready, this role offers a unique opportunity to shape the future of enterprise AI from the ground up.

Job Responsibility:

  • Build intelligent automation and conversational capabilities using state-of-the-art GenAI and Agentic AI products
  • Develop and maintain MCP server integrations for robust and efficient runtime execution
  • Collaborate with product owners, architects, and cross-functional teams to deliver new features with a focus on scalability, performance, and usability
  • Build foundational infrastructure and tools for multi-agent collaboration, memory/context management, and extensibility
  • Drive enterprise-wide adoption of AI agents through easy integration and safe execution
  • Leverage containerization technologies (Docker, Kubernetes) for scalable, resilient deployments
  • Utilize AI-assisted development tools (e.g., GitHub Copilot, Claude, GPT, MCP-integrated IDEs) to enhance productivity and code quality

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 4+ years of experience in building robust software applications
  • 2+ years designing and deploying systems on public cloud platforms such as AWS, Azure, or Google Cloud
  • Strong proficiency in Python, and experience with one or more additional languages such as Java, Go, or C++
  • Proven expertise in agent development, LLM integration, prompt engineering, and runtime systems
  • Hands-on experience with MCP servers, vector databases, RAG architecture, and NLP frameworks
  • Hands-on experience with context, memory management, observability and identity as core agentic AI features
  • Familiarity with vector DBs, graph-based memory systems, and agentic frameworks
  • Familiarity with semantic/graph technologies, dimensional modeling, and BI tools
  • Familiarity with chain-of-graph, graph RAG, and similar frameworks
  • Proficiency in containerization, CI/CD pipelines, and cloud-native deployments (AWS, Azure, or GCP)
  • Strong analytical and problem-solving skills in complex, distributed environments
  • Passion for building safe, human-aligned autonomous systems
  • Familiarity with backend service development, APIs, and distributed systems
  • Interest or experience in LLMs, autonomous agents, or AI tooling
  • Knowledge of open-source tools and technologies, and how to extend them for innovative solutions

Additional Information:

Job Posted:
March 24, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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