Live opening · Posted 1 day ago

AI Architecture Intern

PGAGI · Agartala, Tripura, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyPGAGI
LocationAgartala, Tripura, India (Hybrid)
Work modeHybrid
SkillsPython, AWS, Azure, GCP, TensorFlow, PyTorch
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Company: PGAGI Consultancy Pvt. Ltd.
Location: On-site
Duration: 6 Months
Stipend: ₹10,000 per month, with a performance-based increase of up to ₹20,000 per month
About the Role
At PGAGI Consultancy Pvt. Ltd., we build intelligent AI solutions that solve real-world business challenges, ranging from autonomous AI agents and enterprise automation to advanced data intelligence platforms.
We are looking for an AI Architecture Intern who is passionate about AI system design, emerging technologies, and solution architecture. This role is ideal for someone who enjoys understanding business problems, researching suitable AI approaches, and designing scalable AI systems before development begins.
As an AI Architecture Intern, you will work closely with our AI architects and 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 tools such as Draw.io or similar diagramming platforms.
Prepare technical proposals and architecture documentation explaining how solutions will be implemented.
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, scalable, and aligned with project goals.
Assist in defining architecture standards, reusable frameworks, and AI development methodologies.
Recommend appropriate technology stacks based on project requirements, scalability, performance, and cost.
Requirements:
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
Perks and Benefits:
Opportunity to work on real-world AI projects for enterprise clients.
Hands-on mentorship from experienced AI architects and engineers.
Exposure to modern AI technologies, frameworks, and architecture practices.
Collaborative and innovation-driven work environment.
Opportunity for a Pre-Placement Offer (PPO) based on performance.

Work arrangement
Hybrid

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