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Staff Agentic AI Engineer

India, Hyderabad · Job Posted January 11, 2026
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Job Description

Ignite the Future of AI at Teradata. At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics™ platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems. We’re building intelligent systems that go far beyond automation — they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you’ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.

Job Responsibility

  • Design and implement autonomous AI agents for semantic search, text-to-SQL translation, and analytical task execution
  • Develop modular prompts, reasoning chains, and decision graphs tailored to complex enterprise use cases
  • Enhance agent performance through experimentation with LLMs, prompt tuning, and advanced reasoning workflows
  • Integrate agents with Teradata’s Model Context Protocol (MCP) to enable seamless interaction with model development pipelines
  • Build tools that allow agents to monitor training jobs, evaluate models, and interact with unstructured and structured data sources
  • Work on retrieval-augmented generation (RAG) pipelines and extend agents to downstream ML systems

Requirements

  • 8+ years of software engineering experience
  • 5+ years focused on AI/ML, intelligent systems, or agent-based architectures
  • Deep understanding of software design principles and scalable architecture patterns
  • Strong experience with LLM APIs (e.g., OpenAI, Claude, Gemini) and agentic frameworks (e.g., AutoGen, LangGraph, AgentBuilder, CrewAI)
  • Proven ability to build complex multi-step workflows using prompt pipelines, tools, and adaptive reasoning
  • Proficiency in Python and experience with vector databases, API integration, and orchestration tools
  • Familiarity with agent evaluation metrics: correctness, latency, grounding, and tool use accuracy
  • Experience leading AI projects from inception to deployment in a production setting
  • Master’s or Ph.D. in Computer Science, AI, or a related field, or equivalent industry experience
  • Experience working with multimodal inputs, retrieval systems, or structured knowledge sources
  • Hands-on experience with prompt engineering, function-calling agents, RAG patterns, and evaluation harnesses
  • Prior work with Model Composition Protocol (MCP) or similar orchestration frameworks is a strong plus
  • Excellent cross-team communication and stakeholder engagement skills
  • Passion for shipping high-quality AI products that are safe, explainable, and valuable

Nice to have

  • Experience working with multimodal inputs, retrieval systems, or structured knowledge sources
  • Hands-on experience with prompt engineering, function-calling agents, RAG patterns, and evaluation harnesses
  • Prior work with Model Composition Protocol (MCP) or similar orchestration frameworks

What we offer

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

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