Key Responsibilities:
- Translate client business problems into end-to-end solution architectures.
- Design cloud-native applications and AI-driven solutions using Azure services.
- Create solution diagrams, architecture blueprints, and detailed design documents (HLD & LLD).
- Architect and guide the delivery of Generative AI and Agentic AI solutions (e.g., Azure OpenAI Service, Azure Machine Learning, Prompt Flow, LLMOps).
- Define data pipelines and integration patterns using Azure-native services (e.g., Data Factory, Synapse, Event Hub).
- Ensure solutions follow Azure Well-Architected Framework best practices for scalability, performance, and security.
- Act as a technical leader for engineering teams, ensuring design-to-delivery alignment.
- Stay ahead of emerging AI/ML technologies and bring creative approaches to client engagements.
- Collaborate with business and IT stakeholders to align technology with business goals.

📌 Solution Architect (Bengaluru)
🏢 Xebia IT Architects
📍 Bengaluru