26 to 29 of 29 Amazon S3 Jobs in Scotland

Cloud platform to drive exponential value for our customers. We are scaling up our Solution and Delivery teams in the geography to handle Amazon Connect related contact centre solutions and deliveries, which is a key area of growth. We are looking for talented individuals who could be part … implement the solution, sell, deliver cloud contact center solutions to clients. Experience with AWS technologies such as AWS Lambda, Amazon Lex, DynamoDB, S3, Sagemaker, Contact Lens, Transcribe etc. and how they may be leverage alongside Amazon Connect to enhance contact centre performance Well versed with ...

Cloud platform to drive exponential value for our customers. We are scaling up our Solution and Delivery teams in the geography to handle Amazon Connect related contact centre solutions and deliveries, which is a key area of growth. We are looking for talented individuals who could be part … implement the solution, sell, deliver cloud contact center solutions to clients. Experience with AWS technologies such as AWS Lambda, Amazon Lex, DynamoDB, S3, Sagemaker, Contact Lens, Transcribe etc. and how they may be leverage alongside Amazon Connect to enhance contact centre performance Well versed with ...

Cloud platform to drive exponential value for our customers. We are scaling up our Solution and Delivery teams in the geography to handle Amazon Connect related contact centre solutions and deliveries, which is a key area of growth. We are looking for talented individuals who could be part … implement the solution, sell, deliver cloud contact center solutions to clients. Experience with AWS technologies such as AWS Lambda, Amazon Lex, DynamoDB, S3, Sagemaker, Contact Lens, Transcribe etc. and how they may be leverage alongside Amazon Connect to enhance contact centre performance Well versed with ...

agents across client platforms Architect and implement RAG pipelines using Amazon Bedrock Knowledge Bases, managing vector stores, embeddings, and document ingestion from S3 and other sources Apply the A2A (Agent-to-Agent) protocol to enable interoperability between agents across systems and workflows Instrument AI systems with observability … compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends for AI workloads Collaborate with client engineering and product teams to translate requirements into agent architectures, contributing ...