We are seeking an experienced Azure AI Architect who can Design, build, and deploy enterprise-grade, scalable, and secure Artificial Intelligence and Machine Learning solutions using the Microsoft Azure ecosystem. This role bridges the gap between complex business challenges and cutting-edge cloud-native AI engineering, focusing heavily on Generative AI, Large Language Models (LLMs), Agentic workflows, and robust MLOps/AIOps pipelines

Key Responsibilities: -

Cloud Architecture & AI Engineering

- Solution Design: Architect robust, secure, and highly scalable cloud-native AI platforms aligned with the Azure Well-Architected Framework.
- Generative AI Integration: Lead the deployment of foundation models using Azure OpenAI Services and manage application orchestrations.
- Advanced AI Patterns: Design and optimize Retrieval-Augmented Generation (RAG) pipelines, Agentic AI architectures, and tool-calling automation graphs.
- Compute Optimization:



Design high-throughput infrastructure patterns incorporating Azure GPU clusters, Azure Kubernetes Service (AKS), and distributed training nodes.
- Lifecycle Management: Establish end-to-end MLOps capabilities covering model evaluation, prompt governance, deployment, and version control.

Required skills and Qualifications: -

- Technical Expertise: Azure AI core, AI/ML Concepts, Programming, Cloud Infrastructure, DevOps / IaC, Enterprise Data.
- Education & Experience: Bachelors degree in computer science, IT, or related fields, paired with extensive hands-on IT operations experience.
- Certifications: Microsoft Certified: Azure Solutions Architect Expert (exam AZ-305) is the industry standard credential and Azure AI Engineer Associate (AI-102).

Soft Skills: Robust analytical, troubleshooting, and communication skills

📌 Azure AI Architect_ PAN India (Bengaluru)
🏢 Genpact
📍 Bengaluru