Azure AI Architect

5 days ago

Bengaluru Hyderabad Pune, India Tata Consultancy Services Full time

Job Description: Azure AI Architect:

We are seeking a highly experienced Azure AI Architect to lead the design, governance, and implementation of scalable, secure, and cost-efficient AI/ML solutions using Microsoft Azure's advanced AI services. This role demands deep expertise in Azure OpenAI Service, Azure AI Studio, LLM integration, and hands-on proficiency with Python, PySpark, LangChain, Semantic Kernel, and vector database technologies such as Azure Cognitive Search and FAISS.

You will be responsible for architecting intelligent applications, guiding technical teams, and driving innovation across enterprise-scale AI initiatives. This role also involves actively contributing to pre-sales efforts, defining strategic solution roadmaps, and ensuring alignment with both industry best practices and enterprise governance standards.

Responsibilities:

  • Lead the architecture and design of AI/ML solutions using Azure AI services, ensuring scalability, performance, security, and cost-effectiveness.
  • Define and implement LLM-based applications (e.g., RAG, agents) using Azure OpenAI, LangChain, and Semantic Kernel.
  • Architect and integrate vector search capabilities using Azure Cognitive Search, FAISS, or similar technologies.
  • Champion and implement Azure Responsible AI (RAI) principles and governance frameworks, ensuring solutions are ethical, transparent, and compliant.
  • Collaborate with diverse stakeholders (from C-level to engineering) to gather requirements and translate business needs into technical solutions and strategic roadmaps.
  • Actively support pre-sales and consulting engagements, articulating complex AI concepts and business value to potential clients and partners.
  • Provide technical leadership and mentorship across AI/ML projects, conducting design reviews and enforcing development standards.
  • Architect end-to-end integration patterns for AI services with core business systems (e.g., SAP, Salesforce) using Azure integration services (e.g., APIM, Logic Apps, Service Bus).
  • Develop and maintain documentation for AI architectures, data flows, and integration patterns.
  • Stay current with emerging trends in Generative AI, LLMs, and cloud-native AI development, acting as a subject matter expert.

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