Preferred candidate profile
Design and develop Generative AI and LLM-based applications on GCP.
Build enterprise RAG (Retrieval-Augmented Generation) solutions using organizational documents and structured/unstructured data.
Develop AI agents, conversational AI solutions, copilots and intelligent assistants for business use cases.
Perform prompt engineering, grounding, evaluation and optimization of GenAI applications.
Design APIs and microservices for integrating AI capabilities with enterprise applications.
Implement document ingestion, chunking, embedding, vector search and retrieval pipelines.
Build scalable cloud-native GenAI architectures incorporating security, identity, monitoring and governance.
Establish LLMOps/MLOps practices covering development, deployment, monitoring and model/application lifecycle management.
Work with business, cloud, data and application teams to translate use cases into production AI solutions.
Address enterprise requirements around responsible AI, data privacy, security, hallucination control and cost optimization.

📌 Generative Ai Engineer / Architect With Google Cloud Platform Gcp Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru