Join our dynamic Technology & Transformation practice, where we craft secure, scalable, and business-critical web solutions for global enterprises. Our teams integrate full-stack development, cloud technologies, cybersecurity, and AI to modernize applications and enhance digital service delivery. We manage the entire application lifecycle, from design and development to deployment and continuous improvement.

This role offers a unique opportunity to lead the creation of AI-powered cloud solutions using Azure PaaS, Microsoft Foundry, Python, and React. It demands a strong combination of technical leadership, solution architecture expertise, client engagement, and delivery oversight for enterprise clients.

Lead the end-to-end delivery of Azure-based AI and digital transformation projects. Develop solution architectures leveraging Azure PaaS and Microsoft Foundry. Drive the implementation of cutting-edge GenAI, Agentic AI, and intelligent automation solutions. Provide technical direction to development teams focused on Python and React applications.

Engage with clients to understand their challenges and propose effective technology solutions. Conduct architecture reviews and ensure design governance. Champion best practices in AI governance, security, scalability, and operational excellence. Oversee project planning, resource allocation, and execution.

Mentor team members and foster capability development. Contribute to business development efforts, including proposals and client presentations.

We seek an experienced Manager with 8-12+ years in application development, cloud engineering, or solution architecture. Essential skills include deep expertise in Azure PaaS services, cloud-native application architecture, and hands-on experience with Microsoft Foundry, Azure OpenAI, and enterprise Generative AI.

Proficiency in Python and the React technology stack is crucial. Experience designing large-scale distributed systems and microservices architectures is required. A thorough understanding of RAG frameworks, AI Agents, prompt engineering, model evaluation, and vector databases is also necessary.

Demonstrated experience leading technical teams and managing client engagements is key. Familiarity with Azure DevOps, CI/CD pipelines, Infrastructure as Code (IaC), and cloud governance is expected. Excellent stakeholder management and communication abilities are vital.