Data Architect

2 weeks ago

Meerut, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 40,00,000 - ₹ 50,00,000

Job Title:

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Overview:

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We are seeking a visionary leader to design and integrate cutting-edge AI systems, including Generative AI, Large Language Models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG) frameworks.

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Key Responsibilities:

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  • Architect scalable and secure AI systems leveraging LLMs, GenAI, and multi-agent frameworks to support diverse enterprise use cases.">
  • 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 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.">
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Requirements:

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  • 9+ years of experience in AI/ML engineering or data science, with 2+ years in AI architecture or system design.">
  • Proven experience designing and deploying LLM-based solutions at scale.">
  • Strong understanding of agentic AI design principles, multi-agent orchestration, and tool-augmented LLMs.">
  • Proficiency with cloud-native ML/AI services and infrastructure design.">
  • Deep expertise in model lifecycle management, MLOps, and deployment workflows.">
  • Familiarity with data governance, AI ethics, and security considerations in production-grade systems.">
  • Excellent communication and leadership skills.">
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Primary Stack and Tools:

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  • Languages: Python, SQL, Bash">
  • ML/AI Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers.">
  • GenAI & LLM Tooling: OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI.">
  • Agentic & Multi-Agent Frameworks: LangGraph, CrewAI, Agno, AutoGen">
  • Search & Retrieval: FAISS, Pinecone, Weaviate, Elasticsearch">
  • Cloud Platforms: AWS, GCP, Azure (preferred: Vertex AI, SageMaker, Bedrock)">
  • MLOps & DevOps: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API">
  • Data Tools: Snowflake, BigQuery, Spark, Airflow.">
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