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Gen AI Architect

Gen AI Architect

ConfidentialNoida, India
19 days ago
Job description

Role : Gen AI Architect

Location : Noida

Experience Range : 7 – 10 Years

Role Overview

We are seeking a highly skilled Gen AI Architect / AI Engineer with deep expertise in generative AI, cloud-based AI platforms, and advanced data pipelines. The ideal candidate will design, develop, and deploy state-of-the-art AI solutions leveraging tools such as AWS Bedrock, Azure OpenAI, Huggingface, LangChain, Semantic Kernel, Agentic AI, and Autogen . The role requires strong experience in Prompt Engineering, RAG, document and image intelligence, and synthetic data generation .

Key Responsibilities

  • Architect, implement, and optimize generative AI models for applications such as text and image generation, document extraction, and synthetic data creation.
  • Apply advanced prompt engineering techniques and keep abreast of the latest AI / ML research and generative AI innovations.
  • Develop, fine-tune, and benchmark generative AI models for performance, scalability, and business objectives, comparing outputs across models for quality evaluation.
  • Apply data science principles, including statistical analysis, data preprocessing, and machine learning techniques, to enhance model accuracy and efficiency.
  • Collaborate with data engineers, software developers, and product managers to integrate AI models into enterprise products and services.
  • Ensure AI models are designed and deployed ethically, adhering to industry standards, compliance, and regulatory requirements.

Minimum Qualifications / Skills

  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
  • 5+ years of experience in AI / ML, with a focus on generative AI models.
  • Strong hands-on experience in Python and AI frameworks such as TensorFlow, PyTorch.
  • Proficiency with Azure OpenAI, Open Source LLMs, LangChain, and other generative AI development tools.
  • Solid experience in data science principles, including statistical analysis, feature engineering, and machine learning.
  • Preferred Qualifications / Skills

  • Familiarity with Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning.
  • Knowledge of NLP and computer vision for generative AI applications.
  • Experience with AI pipelines and automation tools such as Semantic Kernel, Autogen, or Agentic AI.
  • Strong analytical and problem-solving skills with a focus on scalable, production-grade AI solutions.
  • Skills Required

    Statistical Analysis, Tensorflow, Pytorch, Machine Learning, Python

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