Chief AI Strategist – Cloud Innovator

23 hours ago

Aurangabad, Maharashtra, India beBeeCloud Full time US$ 1,80,000 - US$ 2,50,000
Job Opportunity

Senior GenAI Engineer – Cloud Architect

About the Role

We are seeking an experienced Senior GenAI Engineer to lead our next-generation AI initiatives. This role 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.
  • Promote 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 (ElasticSearch, Open Search, or similar) 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 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:
  • Expertise in Large Language Models (LLMs), cloud-native architecture, and GenAI development.
  • Strong leadership skills and ability to mentor technical teams.
  • Experience with cloud platforms, particularly AWS.
  • Knowledge of prompt engineering, fine-tuning, and embeddings.
  • Ability to integrate and manage LLM APIs.
  • Familiarity with vector databases and Retrieval-Augmented Generation (RAG).
  • Excellent communication and collaboration skills.
What We Offer:
  • Opportunity to work on cutting-edge AI initiatives.
  • Chance to lead and mentor technical teams.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.
How to Apply:

Interested candidates should submit their resumes and a cover letter outlining their experience and qualifications.

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