Description

You will define and lead the Generative AI architecture strategy, delivering LLM-powered applications and MLOps pipelines on AWS.

This role is remote.

Responsibilities

• Define end-to-end Generative AI architecture, covering model selection, orchestration, inference, evaluation, and monitoring.
• Design and build LLM-powered applications such as chatbots, agents, copilots, and RAG systems.
• Implement GenAI solutions primarily using AWS services like Amazon Bedrock and Amazon SageMaker.
• Establish MLOps/LLMOps pipelines for CI/CD, model versioning, and deployment.
• Enforce AI governance, guardrails, and data privacy security compliance.

Required Skills

• 8+ years in software, data, or cloud architecture roles.
• 3+ years working with ML/AI systems, focused on Generative AI and 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