Chief Cloud Architect

2 days ago

Thiruvananthapuram, Kerala, India beBeeArtificial Full time US$ 2,00,000 - US$ 3,50,000
Job Description

We are seeking a visionary leader to spearhead our next-generation AI initiatives.

This role demands expertise in Large Language Models (LLMs) integration, cloud-native architecture, and hands-on leadership in delivering scalable GenAI solutions on cloud platforms.

As a Technical Lead, you will lead multiple GenAI projects, driving innovation from concept through deployment, ensuring robust, scalable, and efficient AI-powered applications.

  • Design, develop, and deploy GenAI projects leveraging Large Language Models (LLMs) on cloud platforms.
  • 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.
Required Skills & Experience
  • Proven experience integrating Large Language Models (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 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.
Responsibilities Summary
  • Leading the design, development, and deployment of GenAI projects.
  • Implementing scalable, event-driven cloud-native solutions.
  • Driving prompt engineering strategies to enhance model performance.
  • Overseeing fine-tuning, embeddings, and conversational flow development.
  • Integrating and managing LLM APIs.
  • Utilizing vector databases for embedding-based search and RAG.
  • Leading model evaluation efforts.
  • Collaborating with cross-functional teams.
  • Mentoring and guiding technical teams.

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