Azure Full Stack Architect

Roles and Responsibilities:

• Design and architect end-to-end solutions for complex business problems, considering scalability, performance, security, and cost-effectiveness.
• Lead the design and implementation of microservices-based architectures, defining service boundaries, APIs, and interaction patterns.
• Integrate Generative AI and Machine Learning models into applications, defining data pipelines, model deployment strategies, and inference mechanisms.
• Design and develop Agentic AI solutions that autonomously perform tasks across business processes.
• Build and orchestrate workflows using LangGraph and integrate with Azure services.
• Utilize Azure AI Builder and Azure Foundry for intelligent model deployment and scalable data engineering.
• Collaborate with data scientists, ML engineers, and development teams to translate models into production-ready solutions.
• Define and enforce architectural standards, patterns, and best practices across application development teams.
• Evaluate and select appropriate technologies, frameworks, and tools for cloud deployment, AI/ML integration, and application development.
• Design and optimize solutions for deployment on major cloud platforms (AWS, Azure, GCP).
• Provide technical leadership and guidance throughout the software development lifecycle.
• Create and maintain technical documentation, including architectural diagrams, design specifications, and technical guidelines.
• Collaborate with stakeholders to translate requirements into technical designs.
• Stay abreast of trends in microservices, GenAI, ML, cloud computing, and web technologies.
• Drive innovation by leveraging new technologies to improve applications and processes.
• Assess and mitigate technical risks.
• Support DevOps and MLOps practices for seamless deployment and management of applications and models.
• Contribute to the development of technical roadmap and strategy.