AWS AI Engineer Job Description: AWS AI Engineer / Developer Responsibilities ---------------- - Implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation. - Build and integrate LLM-powered agents using AWS Bedrock + open-source frameworks (LangChain, AutoGen). - Develop event-driven pipelines with AWS Lambda, Step Functions, and EventBridge. - Optimize prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication. - Integrate AI agents with external systems through secure APIs. - Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred - Collaborate with data engineers for PHI/PII-safe ingestion pipelines. - Monitor, test, and fine-tune AI workflows for accuracy, latency, and compliance. Qualifications ---------------- - Bachelor’s in Computer Science, Engineering, or related field. - 3–6 years in AI/ML engineering with hands-on LLM/agentic AI development. - Strong coding skills in Python/TypeScript and experience with LangChain, LlamaIndex, or AutoGen. - Familiarity with AWS AI services (Bedrock, SageMaker, Textract, Comprehend Medical). - Experience in API integrations and event-driven architectures. - Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred - Problem-solving mindset with ability to experiment and iterate quickly.