Must-Have
Design end-to-end Agentic AI and GenAI solutions using Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Azure cognitive and related services.
Define reference architectures, secure landing zones, and data foundations for AI workloads.
Architect frameworks for LLM lifecycle management, prompt engineering, and agentic AI integration.
Responsible AI practices
Positive-to-Have
Azure data platform, Azure Devops, ML
SN
Responsibility of / Expectations from the Role
The Azure AI & Generative AI Architect will lead the design and implementation of advanced AI solutions leveraging Microsoft Azure services and Generative AI technologies.
This role requires deep expertise in cloud-native architectures, AI/ML frameworks, and responsible AI practices to deliver scalable, secure, and cutting-edge solutions for enterprise clients.
Partner with stakeholders to define AI adoption roadmaps and cost optimisation strategies.
Conduct workshops and PoCs for industry-specific use cases leveraging Azure AI services and TCS internal frameworks and tools
Drive operationalisation of GenAI solutions from ideation to production, ensuring compliance with Responsible AI principles.
📌 Architect Telangana (India)
🏢 Tata Consultancy Services
📍 India
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