Data Architect for AI Innovations

6 days ago

Pushkar, Rajasthan, India beBeeDataArchitect Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Lead Architect for Data and AI Innovation

We are seeking an experienced professional to design and implement our cutting-edge data and AI platform.

  • 10+ years of experience in data architecture, distributed systems, or ML platform engineering is required.
  • A deep understanding of large language model (LLM) architecture, embeddings, vector search, and agentic workflows is essential.
  • Proven experience designing and implementing machine learning pipelines, inference runtimes, and data retrieval frameworks is a must.

Key Responsibilities:

  • Design and implement scalable, production-grade RESTful APIs for seamless integration across distributed systems and AI-powered applications.
  • Develop expertise in designing and building hybrid data systems, including Spark, Kafka, Trino, Iceberg, and Airflow.
  • Familiarity with open-source projects like LangGraph, AutoGPT, CrewAI, and ReAct-based agent architectures is a plus.

Requirements:

  • Strong communication skills and a track record of delivering complex systems in fast-paced environments are necessary.
  • Proficiency with at least one programming language, such as Python, Go, or Java, and AI/ML frameworks, including LangChain, Haystack, and Hugging Face Transformers, is required.

About the Role

This position offers a unique opportunity to work at the forefront of data and AI innovation. The ideal candidate will have a strong background in data architecture and AI/ML engineering, with experience designing and implementing complex systems.

Benefits:

  • A dynamic work environment with a collaborative team spirit.
  • Opportunities for growth and development in a rapidly evolving field.
  • The chance to work on cutting-edge projects and technologies.

Skill Enhancement

  • Experience working with LLM orchestration frameworks, retrieval-augmented generation (RAG), and prompt engineering strategies is a plus.
  • Demonstrated expertise in designing and building distributed systems is essential.

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