Title: AWS Cloud AI Engineer — Senior (RAG, Bedrock, LangChain) Location: Remote (U.S.-based) Experience Level: Senior (12 - 15 + years overall software engineering, 5 + years cloud-based AI/ML) Summary Are you a hands-on AWS engineer passionate about building real AI/ML systems in production — not just sandbox experiments? A leading financial services organization is seeking a Senior AWS Cloud AI Engineer to help architect and deploy enterprise-scale, cloud-native AI solutions. You’ll design scalable Retrieval-Augmented Generation (RAG) architectures, fine-tune large language models, and integrate them with real business systems — impacting millions of customers. This is a builder's role on a high-impact team pushing the boundaries of cloud-native AI in the financial domain. Must-Have Skills 1. Deep expertise in Python and experience with Golang. 1. Hands-on AWS skills: Bedrock, SageMaker, Lambda, ECS, Step Functions, DynamoDB, S3. 1. Practical experience designing and deploying RAG architectures using LangChain. 1. Proven experience fine-tuning LLMs and operationalizing ML models. 1. Advanced Infrastructure as Code with Terraform, including module creation. 1. Strong GitHub-based SDLC, CI/CD pipeline automation. 1. Security-first mindset with policy guardrails and governance. 1. Strong communication and documentation skills. Preferred Skills • AWS or relevant cloud certifications. • Experience with Hugging Face, Node.js, or Policy as Code (Terraform Sentinel). • FinOps and cloud cost optimization exposure. • Background in data science or structured/unstructured data handling. • Awareness of data privacy and secure model deployment. Don’t Apply If • You have not deployed AI/ML services to production environments. • Your experience is limited to academic, lab, or theory-only projects. • You only have passing familiarity with AWS AI services (Bedrock, SageMaker) or RAG architectures.