AI Architect

About the role

The role has an objective to harness AI and automation technologies to optimize and elevate eLearning development processes by creating scalable and efficient AI solutions. The role aims to enhance productivity, improve accuracy, and accelerate content creation in the eLearning development lifecycle.

What you'll do

• Lead AI strategy and define end-to-end architecture for eLearning and enterprise AI solutions, aligning with business objectives and transformation goals
• Collaborate with business, product, and technology stakeholders to identify use cases and translate requirements into scalable, enterprise-grade architectures
• Own overall system architecture across application, data, and AI layers, ensuring reusability, extensibility, and alignment with engineering standards
• Design secure AI systems leveraging LLMs (e.g., GPT models), including RAG pipelines and agentic workflows using frameworks such as LangChain or Semantic Kernel
• Define AI orchestration patterns covering prompt design, context management, multi-turn interactions, and tool/agent coordination

What you need

• 6–10 years in data science & ai
• Python
• Machine learning
• LLMs
• AWS
• MLOps
• Prompt engineering
• Any graduate

Good to have

• ETL
• CI/CD
• Azure
• GCP
• Data privacy
• REST APIs