AI Generative Solution Architect

8 hours ago

Mumbai, Maharashtra, India beBeeGenerative Full time US$ 1,50,000 - US$ 2,00,000

Unlock the power of generative AI and propel innovation in real-world deployments. We seek an experienced Solutions Architect with deep expertise in training Large Language Models (LLMs) and building Retrieval-Augmented Generation (RAG) workflows.

Key Responsibilities
  • Design and implement end-to-end generative AI solutions, focusing on LLMs and RAG workflows.
  • Collaborate with customers to understand business needs and translate them into tailored LLM-based solutions.
  • Develop and lead technical sessions to define, optimize, and deploy RAG-based and LLM-powered systems.
  • Train and fine-tune state-of-the-art LLMs on platforms optimized for performance, cost, and efficiency.
  • Deploy and integrate LLMs and RAG workflows in cloud and on-premise environments, enabling real-world applications.
  • Work closely with engineering and product teams to influence the evolution of generative AI tools and technologies.
Required Skills and Qualifications
  • Master's or Ph.D. in Computer Science, AI, or a related field
  • 5+ years of hands-on experience with LLM training, deployment, and production optimization
  • Deep understanding of language models like GPT-3, BERT, and experience with RAG
  • Proficient in PyTorch, TensorFlow, and Hugging Face Transformers
  • Familiar with GPU acceleration, distributed computing, and inference tuning on NVIDIA hardware
  • Experience presenting to clients and leading cross-functional collaboration
  • Strong communication skills—able to clearly explain technical details to diverse audiences
Benefits
  • Experience deploying LLMs in cloud (AWS, Azure, GCP) and on-prem clusters
  • Proficiency with Docker, Kubernetes, and GPU cluster management
  • Proven ability to optimize LLM inference for speed, memory, and cost
  • Hands-on experience with NVIDIA GPU technologies, profiling, and distributed model execution

Join us in shaping what's next in the future of AI. If you're passionate about unlocking the potential of generative AI, we want to hear from you.

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