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Data & AI Architect

2 days ago
India
Full-time
Lead
AI Engineer
Data Science and Analytics
Agile Apache Spark Azure Databricks Generative AI LLM Machine Learning MLflow MLOps Python SQL SQL Server
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11-50
Founded 2020
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Description

  • Design and evolve enterprise data architecture across data lakes, data warehouses, data marts, and lakehouse platforms.
  • Develop AI-ready data assets for analytical, predictive, and generative AI use cases.
  • Architect cloud-native data platforms on Microsoft Azure for ingestion, transformation, storage, and analytics.
  • Establish architectural standards, best practices, and governance for enterprise data platforms.
  • Design data architectures that enable machine learning, generative AI, RAG, and agentic AI solutions.
  • Collaborate with data science teams on AI-powered decision automation workflows.
  • Design scalable AI infrastructure for vector search, embeddings, semantic retrieval, and LLM-based applications.
  • Evaluate emerging AI technologies and develop adoption recommendations aligned with business goals.
  • Architect high-performance Azure-based data solutions and define scalable ETL/ELT and real-time integration patterns.
  • Ensure platform performance, scalability, reliability, cost optimization, security, privacy, compliance, and responsible AI practices.
  • Act as a technical advisor, guide engineering teams, mentor staff, and review solution designs.
  • Partner with business stakeholders to translate strategic objectives into scalable technical solutions and communicate trade-offs and risks.

Requirements

  • 9+ years of experience.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • Extensive experience designing enterprise-scale Data & Analytics platforms.
  • Strong experience implementing cloud-native data and AI solutions on Microsoft Azure.
  • Deep expertise in data modeling, data warehousing, lakehouse architecture, and enterprise data platforms.
  • Hands-on experience with SQL Server, Azure Data Lake, Azure Data Factory, Databricks, Spark, Python, and CI/CD pipelines.
  • Experience designing AI-ready architectures for machine learning and generative AI workloads.
  • Strong knowledge of MLOps and LLMOps tools such as MLflow, Azure Machine Learning, LangChain, vector databases, and RAG architectures.
  • Familiarity with Agentic AI frameworks such as CrewAI, LangGraph, AutoGen, or similar orchestration platforms.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.
  • Experience mentoring technical teams and driving architecture governance.
  • Experience in Insurance, Financial Services, or other highly regulated industries (preferred).
  • Knowledge of regulatory data frameworks and compliance requirements (preferred).
  • Experience implementing AI governance, explainability, and responsible AI practices (preferred).
  • Experience working in Agile, Data Mesh, or domain-driven data architectures (preferred).
  • Microsoft Azure Solutions Architect, Azure AI Engineer, or equivalent cloud certifications (preferred).
  • AI/ML certifications are an added advantage.

Interested in this position?

Apply directly on the company website

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