Cloud Architect for GenAI Solutions

16 hours ago

Solapur, Maharashtra, India beBeeGenai Full time US$ 2,00,000 - US$ 2,50,000
Job Title:

A highly skilled and visionary Technical Lead role demands expertise in Large Language Models (LLMs) integration, cloud-native architecture, and hands-on leadership in delivering scalable GenAI solutions on cloud platforms.

The ideal candidate will have experience integrating LLMs into real-world applications, strong programming skills in Python, and expertise in cloud architecture, particularly AWS services including Lambda, SNS/SQS, Step Functions, and event-driven design patterns.

  • Key Responsibilities:
  • Design, develop, and deploy GenAI projects leveraging Large Language Models (LLMs) on cloud platforms, primarily AWS.
  • Architect and implement scalable, event-driven cloud-native solutions using AWS Lambda, SNS/SQS, Step Functions, and related services.
  • Drive prompt engineering strategies including prompt versioning, optimization, and chain-of-thought design to enhance model performance.
  • Oversee fine-tuning, embeddings, and conversational flow development to build intelligent, context-aware AI applications.
  • Integrate and manage LLM APIs such as Azure OpenAI and other emerging models to deliver cutting-edge AI capabilities.
  • Utilize vector databases for embedding-based search and Retrieval-Augmented Generation (RAG).
  • Lead model evaluation efforts including output analysis, performance tuning, and quality benchmarking to ensure high standards.
  • Collaborate with cross-functional teams to align AI solutions with business goals.
  • Mentor and guide technical teams on best practices in GenAI development and cloud architecture.

Requirements:

  • Proven hands-on experience integrating LLMs into real-world applications.
  • Strong programming skills in Python and experience with web frameworks.
  • Expertise in cloud architecture, particularly AWS services.
  • Deep knowledge of LLM APIs, with mandatory experience in Azure OpenAI; familiarity with other models like LLaMA is a plus.
  • Experience working with vector databases.
  • Proficiency in prompt engineering techniques.
  • Familiarity with LLM frameworks.
  • Experience with embedding-based search and Retrieval-Augmented Generation (RAG) methodologies.
  • Strong skills in model evaluation, including output analysis, performance tuning, and quality benchmarking.
  • Excellent leadership, communication, and project management skills.

About the Role:

This is a fantastic opportunity to work with a talented team and contribute to the development of innovative GenAI solutions. If you are a motivated and experienced professional looking to take your career to the next level, we encourage you to apply.

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