Gen AI Architect

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Role Overview

Gen AI Architect / AI Engineer

AWS Bedrock, Azure OpenAI, Huggingface, LangChain, Semantic Kernel, Agentic AI, and Autogen

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.