AI Architecture Intern

About the Role

PGAGI Consultancy Pvt. Ltd. builds intelligent AI solutions. We are seeking an AI Architecture Intern passionate about AI system design, emerging technologies, and solution architecture. This role involves understanding business problems, researching AI approaches, and designing scalable AI systems. You will collaborate with AI architects and the engineering team to transform client requirements into practical, scalable, and well-documented AI solutions.

Key Responsibilities

• Understand client requirements and translate business problems into AI solution designs.
• Research and evaluate suitable AI technologies, frameworks, models, and implementation approaches.
• Design end-to-end AI architectures, including:
• System workflows
• Data pipelines
• Model interaction flows
• API integrations
• Infrastructure considerations
• Create architecture diagrams using Draw.io or similar platforms.
• Prepare technical proposals and architecture documentation.
• Develop problem statements, solution approaches, implementation strategies, and technical documentation.
• Stay updated on the latest AI technologies, Large Language Models (LLMs), frameworks, and architecture best practices.
• Collaborate with engineering teams to ensure proposed architectures are practical and scalable.
• Assist in defining architecture standards, reusable frameworks, and AI development methodologies.
• Recommend appropriate technology stacks based on project requirements, scalability, performance, and cost.

Requirements & Tech Stack

• Strong understanding of Artificial Intelligence (AI), Machine Learning (ML), and Data Structures.
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
• Good programming skills in Python.
• Understanding of AI system architecture, design thinking, and scalable solution design.
• Ability to create architecture diagrams using Draw.io or similar tools.
• Strong technical writing skills, with the ability to prepare:
• Technical proposals
• Architecture documents
• Solution design documents
• Problem statements
• Passion for researching emerging AI technologies, tools, frameworks, and technology stacks.
• Strong analytical, communication, and documentation skills.
• Ability to work independently and collaborate effectively within a technical team.

Preferred Qualifications

• Previous internship or academic project experience in AI, Machine Learning, Data Science, or Solution Architecture.
• Exposure to LLMs, Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or enterprise AI solutions.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus.
• Experience working in AI startups or fast-paced technology environments is an advantage.
• Demonstrated curiosity, initiative, and willingness to learn emerging technologies.

What You'll Learn

• AI Solution Architecture
• Enterprise AI System Design
• Client Requirement Analysis
• Technical Proposals and Documentation
• AI Technology Evaluation
• Scalable AI Application Design
• LLM and Agentic AI Architecture
• Industry-Standard Architecture Best Practices