1 to 25 of 44 Remote Amazon Bedrock Jobs

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 ...

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 ...

Context Protocol (MCP) Function Calling Tool Use AI Orchestration AI Platforms Experience with one or more: OpenAI Azure OpenAI Anthropic Claude Google Gemini AWS Bedrock Hugging Face LangChain LangGraph Semantic Kernel AutoGen CrewAI LlamaIndex Pinecone Weaviate Milvus ChromaDB Cloud Platforms Commercial experience with one or more: AWS Microsoft Azure ...

Power Platform Developer, PL-600 Power Platform Solution Architect, or Azure AI Foundry/Copilot credentials). Experience with the AWS AI stack (e.g., Amazon Bedrock, SageMaker, Kiro, and related AI services Experience with agent orchestration frameworks (e.g., Semantic Kernel, AutoGen) and multi-agent patterns. Experience operating within ...

Power Platform Developer, PL‐600 Power Platform Solution Architect, or Azure AI Foundry/Copilot credentials). Experience with the AWS AI stack (e.g., Amazon Bedrock, SageMaker, Kiro, and related AI services Experience with agent orchestration frameworks (e.g., Semantic Kernel, AutoGen) and multi‐agent patterns). Experience operating ...

architecture, mentor engineers, and guide teams through complex technical decisions. Nice to have Experience with any of the following would be beneficial: AWS SageMaker, Bedrock, Lambda, ECS, EKS, Step Functions, EventBridge, CloudWatch, IAM, S3, ECR, or related services. MLflow, model registries, feature stores, model observability, drift detection, and automated ...

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 ...

building cloud-native applications. Are comfortable working with Docker , Kubernetes , CI/CD pipelines, and containerised deployments. Have experience with solutions such as AWS Bedrock and AgentCore Understand how to deploy, monitor, and operate AI services in production. AI Operations & Observability Have experience implementing monitoring, tracing, evaluation, and cost ...

Competitive - Outside IR35 Industry: Technology/AI & Cloud Consulting What You’ll Be Doing Design, build and deploy production-ready agentic AI solutions using Amazon Bedrock and the wider AWS ecosystem. Develop multi-agent architectures, orchestration frameworks and intelligent workflows that solve complex business challenges. Build and maintain … Support the delivery of innovative AI capabilities from concept through to production deployment. Main Skills Needed Proven experience delivering production-grade AI applications using Amazon Bedrock. Strong background designing and implementing agentic AI and multi-agent systems. Hands-on experience building or integrating MCP (Model Context Protocol) servers. Experience ...

compliant implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

communication skills. Experience working within regulated environments. Strong understanding of cloud governance and compliance. Desirable AWS Solutions Architect or similar certification. Experience with AWS Bedrock, Anthropic Claude, Generative AI or LLM technologies. Experience supporting cloud migration programmes. Knowledge of Enterprise Architecture frameworks and tooling. Reasonable Adjustments: Respect and equality ...

using learnings from the Model Serving PoC and drive approvals for standardization Enable LLM Strategic Capabilities Assess different capabilities for LLM Azure AI foundry Bedrock and Databricks and take design decisions for approval Work with security Data protection office other architecture teams to align them with the decision ...

supporting the ETFs business. What you will be doing: AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code. Design, build, and maintain data engineering workflows and platform services supporting ...

applications having organization-wide impact Hands-on experience with LLM integration patterns and at least one LLM gateway or proxy product (LiteLLM, Portkey, AWS Bedrock Gateway, or equivalent), including model routing, rate limiting, and token usage attribution in a multi-tenant cloud environment Preferred: Experience in a hybrid Cloud ...

platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands‐on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation ...

. Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive ...

related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to communicate on a Business and Technical level bringing solutions ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk.Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs.Ability to communicate on a Business and Technical level bringing solutions to life ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to communicate on a Business and Technical level bringing solutions ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk.* Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs.* Ability to communicate on a Business and Technical level bringing solutions ...

cost management, token efficiency and responsible consumption of generative AI services. Support analysis across AI platforms and providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks and Snowflake AI services where relevant. Provide insight into emerging AI pricing models and token-based cost structures ...

have: Experience developing or scaling a FinOps, AI economics or technology value management capability. Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks or Snowflake. Understanding of AI cost drivers including input/output tokens, embeddings, context windows, model routing, retries ...

architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, GCP Vertex etc. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You’ll receive 25 days ...