Data Architect Lead

20 hours ago

Kolkata, West Bengal, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title:

Data Architect Lead

We are seeking a visionary Data Architect to lead the design and integration of cutting-edge AI systems, including Generative AI, Large Language Models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG) frameworks.

This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud.

Key Responsibilities:

  • Architect scalable and secure AI systems leveraging LLMs, GenAI, and multi-agent frameworks to support diverse enterprise use cases (e.g., automation, personalization, intelligent search).
  • Design and oversee implementation of retrieval-augmented generation (RAG) pipelines integrating vector databases, LLMs, and proprietary knowledge bases.
  • Build robust agentic workflows using tools like LangGraph, CrewAI, or Agno, enabling autonomous task execution, planning, memory, and tool use.
  • Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps.
  • Define and enforce AI/ML infrastructure best practices, including security, scalability, observability, and model governance.
  • Manage technical roadmap, sprint cadence, and 3–5 AI engineers, coach on best practices.
  • Lead AI solution design reviews and ensure alignment with compliance, ethics, and responsible AI standards.
  • Evaluate emerging GenAI & agentic tools; run proofs-of-concept and guide build vs-buy decisions.

Required Skills:

  • Strong technical foundation in machine learning, deep learning, and AI infrastructure.
  • Hands-on experience in building scalable, production-grade AI systems on the cloud.
  • Knowledge of large language models, generative AI, and multi-agent frameworks.
  • Experience with retrieval-augmented generation (RAG) pipelines and vector databases.
  • Proficiency in modern AI frameworks and tools like LangGraph, CrewAI, or Agno.

Benefits:

  • A challenging role that combines architectural leadership with hands-on proficiency in modern AI frameworks.
  • The opportunity to work with a talented team of AI engineers and collaborate with cross-functional teams.
  • A competitive compensation package and comprehensive benefits.

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