
Data Architect
1 day ago
We are seeking a seasoned professional to lead our Gen AI efforts, transforming business outcomes with cutting-edge solutions.
- The ideal candidate will have 4+ years of experience in designing and developing AI systems using Python, with expertise in frameworks such as Flask, Streamlit, and FastAPI.
- A strong background in architecting intelligent agents and agent-based systems is essential for this role.
This position involves applying Retrieval-Augmented Generation (RAG) techniques, including GraphRAG, to enhance model performance. You will also engineer memory and context-aware systems for dynamic AI interactions.
- Key Responsibilities:
- Apply RAG techniques to boost model efficiency.
- Develop memory and context-aware systems for AI interactions.
- Collaborate on solutioning initiatives in Data and GenAI, driving innovation and efficiency.
- Work with modern AI frameworks such as LangChain, LangGraph, crew.ai, or Autogen.
- Contribute to Agent Architecture design and optimization.
- Strong programming skills in Python.
- Experience with one or more of the following: LangChain, LangGraph, crew.ai, Autogen.
- In-depth understanding of Agent Architectures, RAG, and GraphRAG.
- Familiarity with memory management and context engineering in AI systems.
You will be part of a team shaping the future of AI at Tata Consultancy Services, leveraging innovative technologies like Gen AI. This opportunity offers a chance to work on diverse projects, develop your skills, and grow professionally.
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Data Architect
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Data Architect
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Enterprise Data Architect
7 days ago
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Data Architect/Engineer
1 week ago
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Data Solutions Architect
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GCP Data Architect Position
3 days ago
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Cloud Data Architect
4 days ago
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