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