Azure AI Architect

Tata Consultancy Services; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

A leading consultancy firm in India is seeking an experienced professional to lead the architecture and design of AI/ML solutions using Azure AI services. You'll define and implement LLM-based applications, provide technical leadership across AI/ML projects, and ensure integration with core business systems. The ideal candidate should have 10 to 15 years of experience and be proficient in Azure technologies. This role involves staying updated on generative AI trends and championing responsible AI principles.

Qualifications

• 10 to 15 years of experience in AI/ML solution architecture.
• Expertise in Azure services and responsible AI principles.
• Ability to lead and mentor technical teams.

Responsibilities

• Lead the architecture and design of AI/ML solutions using Azure AI services.
• Define and implement LLM-based applications using Azure OpenAI.
• Architect end-to-end integration for AI services with business systems.
• Champion and implement Azure Responsible AI (RAI) principles and governance frameworks, ensuring solutions are ethical, transparent, and compliant.
• 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 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.

Skills

AI/ML solutions architecture

Azure AI services

Technical leadership

Integration patterns

Emerging trends in Generative AI

Tools

Azure OpenAI

LangChain

Semantic Kernel

Azure Cognitive Search

FAISS

FAISS

APIM

Logic Apps

Service Bus

Job description

Desired Experience Range: 10 to 15 years

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.
• 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 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.