AI Solutions Architect

1 day ago

Ahmedabad, Gujarat, India beBeeSolutions Full time ₹ 2,06,16,000 - ₹ 2,51,72,000
Job Title: AI Solutions Architect

We are seeking a visionary leader to spearhead the design, development, and deployment of cutting-edge GenAI solutions on cloud platforms. As an AI Solutions Architect, you will be responsible for leading the implementation of scalable, event-driven cloud-native architectures using AWS services.
Key Responsibilities:
  • Design and Develop GenAI Projects: Lead the development of innovative GenAI projects leveraging Large Language Models (LLMs) on cloud platforms, primarily AWS.
  • Cloud-Native Architecture: Architect and implement scalable, event-driven cloud-native solutions using AWS Lambda, SNS/SQS, Step Functions, and related services.
  • Prompt Engineering Strategies: Drive prompt engineering strategies including prompt versioning, optimization, and chain-of-thought design to enhance model performance.
  • LLM Integration and Management: Integrate and manage LLM APIs such as Azure OpenAI and other emerging models to deliver cutting-edge AI capabilities.
  • Vector Database Utilization: Utilize vector databases (ElasticSearch, Open Search, or similar) for embedding-based search and Retrieval-Augmented Generation (RAG).
  • Model Evaluation and Improvement: Lead model evaluation efforts including output analysis, performance tuning, and quality benchmarking to ensure high standards.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams including data scientists, engineers, and product managers to align AI solutions with business goals.
  • Tech Leadership and Mentorship: Mentor and guide technical teams on best practices in GenAI development and cloud architecture.

Requirements:

To succeed in this role, you should possess:

  • Deep expertise in Large Language Models (LLMs) integration, cloud-native architecture, and hands-on leadership in delivering scalable GenAI solutions on cloud platforms.
  • Strong background in designing, developing, and deploying cloud-native applications using AWS services.
  • Experience in driving prompt engineering strategies and optimizing model performance.
  • Familiarity with vector databases and their application in embedding-based search and RAG.
  • Ability to collaborate effectively with cross-functional teams and mentor junior team members.
  • Stay up-to-date with the latest advancements in AI, cloud technologies, and LLM frameworks.

About Us:

We are a forward-thinking organization dedicated to harnessing the power of AI to drive innovation and growth. Our team is passionate about delivering cutting-edge AI solutions that make a real impact.

We offer a dynamic work environment, opportunities for professional growth, and a competitive compensation package.

Join us in shaping the future of AI and making a difference in the world.

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