1 to 25 of 144 Amazon Bedrock Jobs in England

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 ...

particularly Data Loss Prevention (DLP), Information Protection, and Insider Risk Management, and how these underpin safe enterprise AI adoption Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience a bonus Understanding of data readiness principles for AI, including permissions hygiene, oversharing remediation … Software as a Service (SaaS), and serverless architectures Understanding of enterprise AI deployments (e.g., Microsoft 365 Copilot rollouts, Copilot Studio agents, Azure AI Foundry, Amazon Bedrock, Amazon Q Business, Google Vertex AI, or Gemini for Google Workspace) Strong project management and stakeholder communication skills Experience architecting solutions ...

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 ...

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 ...

design authority/architecture review board as a technical advisor. AI security Define the security architecture for AI-enabled features built on Amazon Bedrock, covering model access controls, guardrails, prompt and output handling, data residency and cross-region inference, and logging that meets our regulatory retention needs. Establish … being decided. Desirable Experience in financial services or another regulated sector; mobile application security; software supply chain and secure SDLC; hands-on experience with Amazon Bedrock or comparable managed model platforms; familiarity with the OWASP Top 10 for LLM and Agentic Applications; working knowledge of OWASP ASVS ...

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 ...

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing … backend architectures. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel). Experience with AWS Bedrock, Amazon SageMaker, Azure OpenAI, or Vertex AI. Experience implementing Responsible AI frameworks. Financial services, fintech, or investment management domain experience. Experience building recommendation ...

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 ...

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 ...

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 ...

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 ...

experienceExperienced in cloud development (AWS), with a focus on application design and development.Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AIProficiency in programming languages such as Java, Python, or Node.js.Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience ...

/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 ...

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 ...