Agentic AI Data Engineer

Job description

Key Responsibilities: - Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines - Build scalable data pipelines for structured and unstructured data (batch + real-time) - Develop and manage LLM-powered applications using retrieval-augmented generation (RAG), tool use, and multi-agent frameworks - Integrate AWS AI/ML services into production-grade architectures - Develop and optimize data lakes, warehouses, and lakehouse architectures - Build APIs and microservices to expose AI/ML capabilities - Ensure data quality, governance, and security across pipelines - Collaborate with data scientists, ML engineers, and product teams to deploy AI solutions - Implement monitoring, logging, and observability for AI agents and pipelines - Optimize cost and performance of cloud-based AI workloads Required Technical Skills: Cloud & AWS Ecosystem: Strong experience with AWS services, including: - Amazon S3, Glue, Lambda, Step Functions - Amazon Redshift / Athena - Amazon SageMaker (training, deployment, pipelines) - Amazon Bedrock (foundation models, agents, knowledge bases) AI/ML & Agentic Systems: - Experience with LLMs and generative AI systems...