11 of 11 Permanent Amazon Bedrock Jobs in the Midlands

deliver production‐ready AI solutions in complex professional environments. Strong consulting, stakeholder engagement, problem‐solving, and technical leadership capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena … Data warehousing & serverless analytics Amazon EMR - Big data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data & AI workflows Amazon QuickSight - BI, dashboards & visualisation Python, SQL, R & PySpark - Data science & analytics As an equal opportunities’ employer, we welcome applications from individuals ...

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 ...

Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP. Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock ...

Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP. Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock ...

services. Experience in backend development for AI applications and orchestration of LLMs or multi-agent systems. Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar AI platforms. Experience in prompt engineering and working with multiple AI models. Experience developing proof-of-concepts and successfully scaling ...

regulated environments Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock) Person Specification Strong technical authority with the ability to influence design and operational decisions Highly collaborative, comfortable working across architecture, engineering, security ...

complex, or regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability to influence design and operational decisionsHighly collaborative, comfortable working across architecture, engineering, security, and operations ...

Cloud SQL, Cloud Storage + more) AI/agentic platform Opus/GPT/Gemini/and many more model families Vertex/Bedrock/Foundry - Cloud deployed models Temporal - durable workflow engine MCP servers as the tool layer AI gateway (Bifrost) for logging, routing, governance Eval harness (Phoenix ...

Cloud SQL, Cloud Storage + more) AI/agentic platform Opus/GPT/Gemini/and many more model families Vertex/Bedrock/Foundry - Cloud deployed models Temporal - durable workflow engine MCP servers as the tool layer AI gateway (Bifrost) for logging, routing, governance Eval harness (Phoenix ...

Cloud SQL, Cloud Storage + more) - AI/agentic platform - Opus/GPT/Gemini/and many more model families - Vertex/Bedrock/Foundry - Cloud deployed models - Temporal - durable workflow engine - MCP servers as the tool layer - AI gateway (Bifrost) for logging, routing, governance - Eval harness (Phoenix ...

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 ...