The Mid -Senior Applied AI Engineer is responsible for designing, developing, and deploying scalable artificial intelligence solutions within an enterprise AI platform.
Moving beyond basic implementation, this role requires architectural thinking to build robust GenAI services, complex retrieval pipelines (RAG), and agentic workflows.
The engineer will partner closely with AI Program Management, Data & Analytics, and business stakeholders to translate validated business requirements into secure, production -ready AI applications.
Requirements
Strong hands -on experience in Generative AI, LLMs, Agentic AI, NLP, and AI workflow development using Amazon Bedrock
Expertise in building RAG -based AI solutions with Amazon Bedrock Knowledge Bases, embeddings, vector retrieval, grounding, and citation strategies
Experience developing intelligent document processing solutions using Amazon Textract, OCR workflows, summarization, classification, extraction, and business Q&A systems
Proficient in prompt engineering, AI guardrails, hallucination mitigation, responsible AI practices, and implementing human -in -the -loop AI workflows
Strong Python programming skills with experience integrating AI solutions using AWS services such as Lambda, S3, Step Functions, EventBridge, SQS, IAM, Secrets Manager, and CloudWatch
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