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Senior, niche GenAI skills reduce applicant density despite EPAM brand and metro location.
Requires specialized GenAI, LLM and AWS Bedrock expertise, limiting cross-industry transferability.
Explicit 10+ years, 5+ cloud years, and mandatory GenAI platform and LLM expertise create strict filters.
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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 AI applications such as chatbots, copilots, knowledge assistants, and document processing tools, leveraging prompt engineering, RAG architectures, and fine-tuning of LLMs for business use cases.
Implement secure AI architectures ensuring data privacy, model governance, and responsible AI practices compliant with enterprise and regulatory standards.
Bachelor's or master's degree in Computer Science, Engineering or related field.
6 to 12 years of overall experience with at least 10 years in IT and 5+ years in cloud architecture.
Hands-on experience with AWS services including EC2, S3, Lambda, RDS, VPC, and IAM.
Proven experience with Amazon Bedrock or similar generative AI platforms and expertise in LLMs, prompt engineering, embeddings, and RAG frameworks.
Experienced in designing API-driven and microservices architectures within cloud environments, particularly AWS.
Strong expertise in integrating generative AI models with enterprise applications and APIs for practical business scenarios.
Familiarity with Python, React or Node.js programming and knowledge of emerging AI frameworks like LangChain or LlamaIndex is a plus but not mandatory.