1 to 25 of 112 Amazon Bedrock Jobs in London

obsessed builder with a passion for helping enterprises unlock transformative value from Generative AI? Do you combine deep technical proficiency in GenAI — foundation models, Amazon Bedrock, agentic architectures — with the business acumen to land AI transformation programmes tied to real customer outcomes? Do you thrive at the intersection … driving enterprise Generative AI adoption across EMEA. Rather than owning a single service, you will own the cross-cutting GenAI transformation narrative — spanning Amazon Bedrock, agentic architectures, foundation model strategy, and emerging GenAI capabilities — and translate it into use-case-led motions that land measurable business outcomes ...

Agentic WorkSpaces Solutions Architect team is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of agentic AI capabilities built on Amazon WorkSpaces. This team operates as a dedicated advisory and hands-on development function — assigning engineering resources directly to customers to achieve production-ready outcomes … production. Your work centers on three pillars of agentic AI:Model Selection — Guiding customers through evaluating and selecting the right foundation models (via Amazon Bedrock) for their workspace use cases, balancing latency, accuracy, cost, and compliance requirements.Prompt Configuration — Designing, testing, and optimizing AI prompts and system instructions ...

working prototypes for novel applications of GenAI in security operations, with a path to production deployment- Build security-focused applications leveraging AWS GenAI services (Amazon Bedrock, Amazon GuardDuty, Amazon Security Lake, and others) that solve real customer problems- Partner with internal builders and external partners … hardening the security architecture of a GenAI application mid-build. By mid-morning, you're writing and testing security controls for a customer's Amazon Bedrock deployment, collaborating directly with a partner engineer on implementation. After lunch, you're in a rapid architecture review for a new engagement ...

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 ...

Playbook. Joint product contribution & reference architectures — own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch ("Moonwalk+"), Agent Bricks Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud … field and to convene a cross‐region SME community. AWS‐specific technical depth — PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue Unity Catalog federation. At least 3 years of technical pre‐sales/sales‐methodology experience within a consumption business model. Ability ...

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 ...

Haystack, CrewAI, AutoGen Interoperability & integration: MCP, function/tool calling, structured outputs, API integration, event‐driven and orchestration patterns Cloud AI platforms & model hosting: Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI, Hugging Face Vector databases & retrieval: Pinecone, Weaviate, Chroma, pgvector, FAISS; embeddings, semantic and hybrid ...

similar tools, along with modern LLM/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector, FAISS), containerization and orchestration (Docker, Kubernetes), and distributed ...

skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools ...

skills:Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools ...

skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools ...

with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data for LLM discoverability What’s in it for you:Our Total Rewards consist ...

/proxy management, prompt/version management, guardrails at runtime.* Experience hosting AI/agentic platforms as a shared internal service (multi-tenant).* Bedrock/model-hosting and API gateway management.* FinOps for AI (usage-based cost optimisation).* LangGraph, LangChain understanding**Accessibility**We are committed to providing ...

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

helping customers achieve their full potential? Do you have the technical background, customer experience, and skills necessary to help accelerate customer adoption of Amazon Connect's AI capabilities? Do you love building new strategic and data-driven businesses? Join the Applied AI Solutions team as an Amazon Connect … Specialist Solutions Architect!The Applied AI Solutions Architecture team is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. Applied AI Solutions is part of the AWS Specialist & Partner (ASP) org, which works backwards from our customer’s most complex ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.Experience with distributed computing, data sharding, and performance optimization.Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.Demonstrated experience in financial services, particularly investment banking operations.J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

NLPHands-on work with generative AI – including prompt engineering, context engineering and multiagent systems and working with managed endpoints (OpenAI, Anthropic, AWS Bedrock) and open-weight models (Hugging Face ecosystem)Knowledge of agentic design patterns - planning, memory, tool use/function calling, RAG - with practical experience in evaluation ...

strong experience 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 AgentCoreUnderstand how to deploy, monitor, and operate AI services in production.AI Operations & ObservabilityHave experience implementing monitoring, tracing, evaluation, and cost optimisation ...

engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design Integration across cloud AI services (e.g. GCP + Vertex AI , Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API‐led landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure ...

data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design.Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API-led landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure ...

Stays up to date with new technology in the AI space. Nice to have: Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi‐step generative AI applications, like LangGraph. Experience with Agent‐to‐Agent ...

systemsExposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc.Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc.Master's degree or above in Machine learning/data science, computer ...

traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing.Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines.Proficiency in data visualization tools and techniques.Experience with version control systems (e.g., GitLab ...