Description

You will define and lead the strategy for Generative AI architecture across the organization.

Responsibilities

• Define end-to-end Generative AI architecture, including model selection, orchestration, inference, evaluation, and monitoring.
• Lead the design of LLM-powered applications like chatbots, agents, copilots, and RAG systems.
• Architect and implement GenAI solutions primarily using AWS services like Amazon Bedrock and Amazon SageMaker.
• Implement MLOps/LLMOps pipelines for CI/CD, model versioning, and deployment.
• Establish AI governance, guardrails, and ensure data privacy and security compliance.

Required Skills

• 8+ years in software, data, or cloud architecture roles.
• 3+ years working with ML/AI systems, focused on Generative AI/LLMs.
• Strong hands-on experience with AWS, Amazon Bedrock, and Amazon SageMaker.
• Deep expertise in AWS cloud architecture; working knowledge of Azure.
• Proficiency in Python and building APIs.
• Experience with RAG architectures, vector databases, and embeddings.
• Strong understanding of MLOps/LLMOps and cloud-native design.
• Experience with key services: Api Gateway, OpenSearch, DynamoDB, S3.

Key Skills

Education

Any Graduate