Cloud Architecture Lead

2 weeks ago

Pushkar, Rajasthan, India beBeeCloud Full time US$ 1,80,000 - US$ 2,10,000

Job Title: Technical Project Lead/Architect/GenAI Specialist – Cloud Expert

About the Role:

We are seeking an exceptional technical leader to spearhead our next-generation AI initiatives. This position demands deep expertise in Large Language Models (LLMs) integration, cloud-native architecture, and hands-on leadership in delivering scalable GenAI solutions on cloud platforms.

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.

  • Prompt engineering strategies including prompt versioning, optimization, and chain-of-thought design to enhance model performance.

  • 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.

  • Vector databases (ElasticSearch, Open Search, or similar) for embedding-based search and Retrieval-Augmented Generation (RAG).

  • Model evaluation efforts including output analysis, performance tuning, and quality benchmarking to ensure high standards.

  • Cross-functional teams including data scientists, engineers, and product managers to align AI solutions with business goals.

  • Mentor and guide technical teams on best practices in GenAI development and cloud architecture.

  • Stay abreast of the latest advancements in AI, cloud technologies, and LLM frameworks to continuously innovate and improve solutions.

Requirements and Qualifications:

  • Proven hands-on experience integrating Large Language Models (LLMs) into real-world applications.

  • Strong programming skills in Python and experience with web frameworks such as FastAPI or Flask.

  • Expertise in cloud architecture, particularly AWS services including Lambda, SNS/SQS, Step Functions, and event-driven design patterns.

  • 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 such as ElasticSearch, Open Search, or other vector search engines.

  • Proficiency in prompt engineering techniques including prompt versioning, optimization, and chain-of-thought design.

  • Familiarity with LLM frameworks such as LangChain and LlamaIndex.

  • 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.

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