Ai architect

As an AI Architect, you will be responsible for designing, architecting, and implementing scalable AI-driven solutions leveraging Machine Learning, Deep Learning, and Generative AI technologies. You will lead AI strategy and solution design across LMS platforms, content systems, and enterprise applications, ensuring secure, high- performance, and scalable AI deployments.

Required Skills and Technologies

Strong expertise in Machine Learning, Deep Learning, and NLP Hands-on experience with Generative AI (LLMs, RAG architectures, fine-tuning, prompt engineering) Experience working with Open AI, Azure Open AI, Hugging Face, Anthropic, or similar platforms Experience with vector databases such as Pinecone, FAISS, Weaviate, or equivalent Strong backend programming experience in Python (preferred), Java, or Node JS Experience with AI frameworks such as Tensor Flow, Py Torch, Lang Chain, Llama Index Knowledge of SQL / No SQL databases Experience with one of the Cloud platforms AWS, Azure, GCP or equivalent Experience with MLOps practices and CI/CD for AI/ML pipelines Knowledge of containerization technologies like Docker, Kubernetes Experience in designing scalable and high-performance AI-based cloud solutions Good to Have: Familiarity with Ed Tech standards such as LTI, QTI, x API, CMI5, and SCORM Good to Have: Exposure to Responsible AI frameworks and AI governance models

Key Responsibilities

Define and lead AI architecture roadmap aligned with business goals and customer requirements Design and implement scalable AI/ML and Generative AI solutions including personalization engines and AI-powered assessments Architect Retrieval-Augmented Generation (RAG) pipelines and prompt engineering frameworks Collaborate with cross-functional teams to align AI solutions with business objectives Conduct architectural reviews and recommend improvements Ensure secure, ethical, and compliant AI deployments following best practices

Employee Benefits

Health Insurance: Employee + Spouse + Two Children + Parents GPA Coverage for Employee Hybrid Work Model Compliance: PF and Gratuity