Gen AI Solution Architect - Azure

You are seeking an experienced and forward-thinking Gen AI Solution Architect - Azure to lead the design, development, and deployment of enterprise-grade Generative AI solutions on the Microsoft Azure ecosystem. Your role as a key technology leader will involve working closely with business stakeholders, engineering teams, data scientists, and product leaders to build innovative AI-powered platforms and intelligent automation solutions. This position requires a combination of strategic thinking, hands-on architecture experience, and strong technical leadership to drive successful AI transformation initiatives. Key Responsibilities: - Design and architect scalable Generative AI solutions using Azure AI services and cloud-native technologies. - Lead end-to-end solution architecture for AI/ML applications, including requirement gathering, system design, deployment strategy, and optimization. - Develop enterprise AI frameworks leveraging Azure OpenAI Service, Cognitive Services, Azure Machine Learning, and related Azure offerings. - Define architecture standards, best practices, security frameworks, and governance models for AI implementations. - Collaborate with engineering and data teams to integrate LLMs, vector databases, RAG pipelines, prompt engineering strategies, and AI orchestration frameworks. - Drive solution scalability, reliability, performance optimization, and cost efficiency across cloud environments. - Work with cross-functional teams to translate business requirements into technical AI solutions. - Provide technical leadership, mentorship, and architectural guidance to development teams. - Evaluate emerging AI technologies, tools, and frameworks to enhance enterprise AI capabilities. - Ensure compliance with enterprise security, privacy, and responsible AI standards. Must-Have Skills: - Strong experience as a Gen AI Solution Architect with expertise in designing enterprise AI platforms. - Deep knowledge of Microsoft Azure cloud services and Azure-based AI ecosystem. - Hands-on experience with Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Cognitive Services, and AI orchestration frameworks. - Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector search, prompt engineering, and AI agents. - Expertise in cloud architecture, microservices, APIs, distributed systems, and scalable application design. - Experience with Python, REST APIs, and AI/ML deployment pipelines. - Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. - Familiarity with data engineering concepts, vector databases, and enterprise integration patterns. - Strong understanding of security, governance, compliance, and responsible AI practices. - Excellent stakeholder management, communication, and problem-solving skills. Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field. - Azure certifications such as Azure Solutions Architect Expert or Azure AI Engineer Associate will be preferred. - Experience working in enterprise digital transformation or AI modernization initiatives. - Exposure to multi-cloud environments and MLOps practices is an added advantage. You are seeking an experienced and forward-thinking Gen AI Solution Architect - Azure to lead the design, development, and deployment of enterprise-grade Generative AI solutions on the Microsoft Azure ecosystem. Your role as a key technology leader will involve working closely with business stakeholders, engineering teams, data scientists, and product leaders to build innovative AI-powered platforms and intelligent automation solutions. This position requires a combination of strategic thinking, hands-on architecture experience, and strong technical leadership to drive successful AI transformation initiatives. Key Responsibilities: - Design and architect scalable Generative AI solutions using Azure AI services and cloud-native technologies. - Lead end-to-end solution architecture for AI/ML applications, including requirement gathering, system design, deployment strategy, and optimization. - Develop enterprise AI frameworks leveraging Azure OpenAI Service, Cognitive Services, Azure Machine Learning, and related Azure offerings. - Define architecture standards, best practices, security frameworks, and governance models for AI implementations. - Collaborate with engineering and data teams to integrate LLMs, vector databases, RAG pipelines, prompt engineering strategies, and AI orchestration frameworks. - Drive solution scalability, reliability, performance optimization, and cost efficiency across cloud environments. - Work with cross-functional teams to translate business requirements into technical AI solutions. - Provide technical leadership, mentorship, and architectural guidance to development teams. - Evaluate emerging AI technologies, tools, and frameworks to enhance ent