Expert AI Solutions Architect

13 hours ago

Mount Abu, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a seasoned Azure AI expert to design, develop, and optimize cutting-edge enterprise-grade AI solutions. The ideal candidate will have extensive hands-on experience building Retrieval-Augmented Generation (RAG) applications and intelligent agents, integrating services like Azure OpenAI, Cognitive Search, Speech, and Document Intelligence.

Key Responsibilities:

  • Design and architect scalable AI solutions using Azure AI services, including:
  • Azure OpenAI
  • Azure Cognitive Search
  • Azure Speech Services (speech-to-text, text-to-speech)
  • Azure Document Intelligence (formerly Form Recognizer)
  • Implement RAG-based applications and intelligent agents for search, document processing, and other NLP/NLU use cases.
  • Write robust, maintainable Python backend code to integrate and orchestrate Azure AI services.
  • Optimize performance, cost, and scalability of deployed AI workloads.
  • Develop APIs and service layers to enable AI features across products and platforms.
  • Collaborate with data scientists, DevOps, and product teams to deploy AI models and pipelines.
  • Monitor, troubleshoot, and maintain AI-driven features in production environments.
  • Stay current with Azure's evolving AI stack and emerging best practices in RAG and GenAI.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or a related field.
  • 7+ years of experience in AI/ML or backend software engineering.
  • Strong hands-on experience with Microsoft Azure AI services.
  • Proven experience in building and deploying RAG (Retrieval-Augmented Generation) applications.
  • Proficient in Python, including building RESTful APIs, microservices, and data processing pipelines.
  • Familiarity with vector databases, embedding models, and semantic search.
  • Experience with Azure AI SDKs, REST APIs, and security/authentication mechanisms.
  • Strong understanding of NLP, LLMs, prompt engineering, and AI agent design.
  • Excellent problem-solving, collaboration, and communication skills.

Preferred Qualifications:

  • Experience integrating Azure AI services into enterprise workflows or internal tools.
  • Knowledge of LangChain, Semantic Kernel, or similar LLM frameworks.
  • Familiarity with CI/CD pipelines and infrastructure-as-code on Azure.
  • Exposure to MLOps and model lifecycle management on Azure ML.
  • Experience working in agile development environments.

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