Gen AI Solution Architect - Azure

This role is for one of the Weekday's clients

JobType: full-time

We 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. The ideal candidate will possess deep expertise in AI/ML architecture, cloud-native application development, and large language model (LLM) integration, along with a strong understanding of scalable enterprise systems.

As a key technology leader, you will work closely with business stakeholders, engineering teams, data scientists, and product leaders to build innovative AI-powered platforms and intelligent automation solutions. This role requires a combination of strategic thinking, hands-on architecture experience, and strong technical leadership to drive successful AI transformation initiatives.

Requirements

• 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.

• 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.

• 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.

• 10 – 15 years of overall experience in software engineering, cloud architecture, or enterprise technology solutions.
• Proven experience in architecting and delivering large-scale AI/ML or Generative AI solutions in enterprise environments.