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Senior, niche GenAI skillset and specific AWS Bedrock requirements lower competition density.
Specialized generative AI, LLM, and enterprise cloud integration skills limit cross-industry transferability.
Explicit 10+ years plus mandatory LLM, Bedrock and cloud architecture experience creates high filtering.
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Design and build Generative AI solutions using Amazon Bedrock and similar platforms, including integration with foundation models like Anthropic Claude and Titan.
Develop and optimize AI-powered applications such as chatbots, copilots, knowledge assistants, and document processing systems using RAG architectures and prompt engineering.
Implement secure and responsible AI architectures aligned with enterprise standards, ensuring data privacy, model governance, and regulatory compliance.
Bachelor's or master's degree in Computer Science, Engineering, or related field.
6 to 12 years overall experience with at least 10 years in IT and 5+ years in cloud architecture.
Hands-on experience with AWS cloud services including EC2, S3, Lambda, RDS, VPC, and IAM; proven experience with Amazon Bedrock or similar GenAI platforms.
Proficiency with LLMs, prompt engineering, embeddings, RAG frameworks, and programming in Python, React, or Node.js; capable of designing API-driven and microservices architectures.
Experienced senior developer with strong AWS cloud architecture background, focusing on GenAI and LLM-based enterprise applications.
Skilled in integrating foundation models and building advanced AI applications using modern prompt engineering and retrieval-augmented generation techniques.
Able to lead design and implementation of secure, compliant AI solutions aligned with enterprise and regulatory standards.