3 of 3 Amazon Bedrock Jobs in the Midlands

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing … backend architectures. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel). Experience with AWS Bedrock, Amazon SageMaker, Azure OpenAI, or Vertex AI. Experience implementing Responsible AI frameworks. Financial services, fintech, or investment management domain experience. Experience building recommendation ...

judge with its limits understood, regression testing of prompts and agents, metric selection per use case. Cloud: Production delivery on AWS (incl. Bedrock), Azure or GCP, containers, serverless, networking basics, secrets management, IAM. Engineering discipline: Git, code review, testing, CI/CD, IaC (Terraform or equivalent), observability. Strong advantage ...

This role focuses on applied AI, translating business problems into practical, secure and scalable AI solutions using platforms such as Azure AI Foundry, AWS Bedrock and Google Vertex AI, and embedding those capabilities into well-architected application solutions. You will set architectural direction, define reference architectures and reusable accelerators … into clear technical requirements and target architectures for AI-enabled application solutions.Design end-to-end AI solution architectures using Azure AI Foundry and AWS Bedrock to address specific business challenges.Define and maintain AI reference architectures and design patterns for common use cases such as document intelligence, conversational AI, knowledge ...