We are looking for a highly experienced AWS Bedrock Developer with strong Python expertise to lead the design, development, and deployment of enterprise-scale Generative AI and AI/ML-powered solutions on AWS. The ideal candidate should have hands-on expertise in Amazon Bedrock, Python-based application development, cloud-native architecture, and integrating foundation models into business applications. This role requires deep technical knowledge in AWS services, LLM-based solution development, prompt engineering, AI application architecture, and end-to-end implementation of scalable and secure cloud solutions. The candidate is also expected to provide technical leadership, mentor teams, and drive best practices across the development lifecycle. Strong hands-on experience in Python development Experience working with AWS Bedrock Strong understanding of Generative AI / Large Language Models (LLMs) and enterprise AI use cases Experience in building scalable REST APIs, microservices, and backend applications Strong knowledge of AWS cloud services, including: AWS Lambda Amazon S3 API Gateway IAM CloudWatch ECS / EKS Step Functions VPC / Security configurations Experience in prompt engineering, model integration, and AI application architecture Strong understanding of cloud-native design patterns Experience with Git, CI/CD pipelines, and DevOps practices Knowledge of security, access control, logging, monitoring, and governance in AWS environments Strong debugging, performance tuning, and architectural problem-solving capabilities Experience with LangChain, orchestration frameworks, or AI integration libraries Exposure to RAG (Retrieval-Augmented Generation), embeddings, vector databases, and semantic search Experience in Docker, Kubernetes, and containerized deployments Understanding of AI governance, responsible AI, and model lifecycle management Experience in designing enterprise-scale cloud and AI solutions Ability to lead teams and collaborate with multiple stakeholders across functions