5 of 5 Permanent Amazon Bedrock Jobs in London

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT, Anthropic Claude, Amazon Bedrock ...

cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/CD, security, and governance across AI workloads. Enable future architectures such as multi-model orchestration and agentic ...

communities What Theyre Looking For: Strong Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services such as Bedrock, Lambda, S3, Lex and CloudWatch LLM evaluation and prompt engineering/optimisation Experience leading or mentoring engineers Strong communication skills with the ability ...

based AI applications. Building LLM-driven and agentic AI features used daily by thousands of internal users. Working hands-on with AWS services including Bedrock, Lambda, S3, Lex and CloudWatch. Evaluating LLMs, optimising prompts, and driving AI capability across the organisation. Leading and mentoring two early-career engineers ...

deploying scalable applications in AWS. Excellent communication and cross-team collaboration skills. Nice-to-Have Skills Production TypeScript experience at scale. Experience with AWS Bedrock (Guardrails, Evaluations, Agents). Developing organisation-wide GenAI evaluation frameworks. Experience with LLM observability tooling. Building or integrating MCP servers with AuthN/AuthZ ...