1 to 25 of 123 Amazon Bedrock Jobs in England

Contract Senior CXE Engineer - Amazon Connect Day Rate - DoE - Contract Length - Initial 6 months - Rolling extensions UK Remote based - Some travel for essential meetings | Candidates must be eligible to work and reside in the UK About the Role You will spend the majority of your time in code … pressure-test them, propose better patterns, and own the implementation quality of your workstream from first commit through production cutover. This role blends deep Amazon Connect platform engineering, generative AI development on Bedrock and Claude, and full-stack serverless work, with regular direct interaction with customer engineering teams. ...

architecture post. You will set the technical direction for services built on AWS, with a strong emphasis on serverless architecture and the use of Amazon Bedrock to bring generative AI into production safely. You will work closely with engineering, data science, security and product teams, and you will … event-driven solutions on AWS, and guiding teams on when and how to use managed services. Shaping the architecture for AI-enabled products using Amazon Bedrock, including model selection, data flows, guardrails and cost. Working with data scientists to take models and analytics applications from prototype into secure ...

architecture strategy. Keep us ahead of AWS roadmaps in priority services, and set the technical bar as the alliance scales. Technical Depth Generative AI: Amazon Bedrock, SageMaker, agentic and generative AI application patterns Data & Analytics: Amazon Marketing Cloud (AMC), AWS Clean Rooms, data lakes, analytics pipelines Customer … Experience: Amazon Personalize, Amazon Connect, serverless architectures Modern Applications: Lambda, Step Functions, API Gateway, container orchestration Integration: Event-driven architectures, microservices, API design How Success Looks Technical win rate on the strategic pursuits you lead Competitive deals turned in our favor by your technical credibility Reference architectures adopted ...

safely at scale. You do not need a contact centre background. If you are a strong engineer who has built real agentic systems on Bedrock or a comparable platform, we will teach you the domain. Day to day responsibilities Design and build agentic services on Amazon Bedrock … exposing business capability such as account lookup, billing and identity as reliable, well‐described actions with sensible error semantics. Build retrieval‐augmented generation over Bedrock Knowledge Bases, taking ownership of content preparation, chunking, embedding strategy, retrieval quality and answer grounding. Treat prompts as engineering artefacts. Version them, test them ...

safely at scale. You do not need a contact centre background. If you are a strong engineer who has built real agentic systems on Bedrock or a comparable platform, we will teach you the domain. Location : UK-based hybrid role, occasional travel to site. The Day to day Design … build agentic services on Amazon Bedrock and AgentCore Runtime, including multi step orchestration, state and memory management, and graceful handling of failure and ambiguity. Build and own the tool layer that agents act through, exposing business capability such as account lookup, billing and identity as reliable, well described ...

mentoring engineers and collaborating across cross-functional teams. Desirable Experience Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation … Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs AI/Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry What's on Offer £65,000 - £75,000 salary Remote-first role with flexibility to work anywhere in the UK Optional ...

architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across … home 100% of the time.**Your Role:*** Lead architecture and implementation of GenAI applications using AWS services, especially large language model capabilities such as Amazon Bedrock* Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows* Design agentic AI systems incorporating tool use, workflow ...

Agentic AI Platform & Engineering owns the technical platform on which the businesses' AI agents are built and operated: the AWS-based agentic automation stack (Amazon Bedrock/AgentCore and related services). This is a hands-on engineering role reporting to the Senior Director, Head of Artificial Intelligence … access, and data protection; and Data/enterprise systems teams for Snowflake and system integrations. Key Responsibilities Own the internal implementation and architecture of Amazon Bedrock/AgentCore and related AWS services as the businesses single enterprise agentic automation platform. Design and own runtime governance components: guardrails, evaluation ...

while creating measurable business value for its clients. Base Location: London, UK Role Overview Build PoCs, MVPs, and customer demonstrations Develop GenAI applications using Amazon Bedrock and AWS AI services Design and implement production-grade AI solutions on AWS Lead customer workshops and architecture discussions Guide engineering teams … Skills & Experience 10+ years of experience in cloud architecture and solution design. Proven experience with AWS AI/ML services such as Agent Core, Amazon Bedrock, SageMaker, Comprehend, Textract, and GenAI patterns (RAG, copilots, agents). Experience in application modernization, cloud migration, DevSecOps, and Infrastructure as Code. Nice ...

improving the core infrastructure that powers Evoke’s AI and Machine Learning platforms* Developing expertise in AWS AI technologies, including services such as Amazon Bedrock and SageMaker* Providing technical support and operational ownership for Evoke’s core AI platforms and services* Contributing to platform reliability, observability, automation … experience in a similar Cloud, Platform, or Infrastructure Engineering role* Strong expertise in AWS cloud technologies, including AI and Machine Learning services such as Amazon Bedrock and SageMaker* Solid understanding of Agentic AI concepts and supporting technologies, including platforms such as AWS AgentCore* Strong knowledge of Kubernetes ...

model access, routing, guardrails and cost control Provide shared AI platform services and workflows that enable product teams to ship AI features safely Deliver Amazon Bedrock AgentCore agents, knowledge bases and memory into production Design, develop and evolve modular CI/CD systems and reusable, extensible artifacts Write … developing personal and team skills **Nice to have:** Interest in or experience building AI platform capabilities, including AI gateways, centralised AI developer platforms, and Amazon Bedrock AgentCore agents, knowledge bases and memory Условия: Five weeks of annual leave, available at the start of each year An additional ...

GenAI, Global Education Job ID: 10470021 | AWS EMEA SARL (UK Branch) - F93 Would you like to be part of a mission-driven team at Amazon Web Services (AWS) that is helping the world's education customers innovate with generative AI? Do you have the business acumen, technical depth … education industry experience to help EdTech companies, higher education institutions, and ministries of education adopt the leading AI models on AWS? Through Amazon Bedrock, customers access models from leading AI companies such as OpenAI and Anthropic, as well as open-weight models, with the security, governance, and operational ...

support. AI & LLM‐enabled features Contributing to Melo’s AI‐enabled features, including UI and workflow integration. Working with existing LLM integrations (e.g. Amazon Bedrock) under the guidance of the Lead Engineer. Helping improve how AI outputs are presented, understood, and refined based on clinical feedback. Working closely … Experience with Laravel (PHP) or similar backend frameworks. Experience deploying or supporting production systems in cloud environments. Hands‐on experience integrating LLM APIs (e.g. Amazon Bedrock, Claude, OpenAI) into real products. Experience working in early‐stage startups or small product teams. Nice to have Experience in healthcare, digital ...

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 ...

tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. Responsible AI : governance ...

principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization and orchestration (Docker, Kubernetes); distributed computing. Architecture Design – end‐to‐end design ...

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 ...

LLMOps practices, including CI/CD, model monitoring, evaluation and governance. Deploy and optimise models using cloud-based AI services such as AWS Bedrock, Azure AI Foundry and other AWS, Azure or GCP services . Work with self-hosted inference and model-serving technologies where appropriate, including tools such ...

governance, model risk management, and regulatory requirements within financial services. Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem-solving mindset. Ability to balance strategic architecture with hands-on technical delivery. Excellent communication and presentation skills. ...

GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application ...

recent experience with at least one agentic framework — LangGraph, LangChain, AutoGen, CrewAI, or comparable — including supervisor/multi-agent patterns. Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience on AWS-native AI/ML stacks. Demonstrated experience designing evaluation frameworks for non-deterministic AI outputs ...

evaluation techniques, and the ability to apply them to real product challenges Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi ...

evaluation techniques, and the ability to apply them to real product challenges Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi ...

deploying and scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands ...

deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services … need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services ...