Chief Systems Architect for Generative AI Solutions

13 hours ago

Hyderabad, Telangana, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Shape the Future of Work as a Systems Architect

As a seasoned systems architect, you will design and implement end-to-end systems for production-grade Generative AI applications. This includes model lifecycle management, inference, orchestration, and pipelines.

Key Responsibilities:
  • Develop architectural blueprints for Generative AI applications.
  • Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines.
  • Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability.
  • Collaborate with cross-functional teams to align architecture with business and AI goals.
  • Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning.
Requirements:
  • Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices.
  • Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning.
  • Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML.

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