1 to 25 of 51 Amazon Bedrock Jobs in England

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 ...

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 ...

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 ...

application performance and reliability. Build and integrate AI-driven features (LLMs, intelligent APIs, automation workflows). Implement RAG patterns, AI pipelines, and model integrations (Bedrock, SageMaker). Optimize and monitor models for accuracy, drift, bias, and observability. Leverage Claude/equivalent frontier models to engineer solutions Notes ...

Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across ...

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 ...

Strong hands-on software engineering background with production-grade development experience. Strong Python skills, ideally including FastAPI. Strong AWS experience, including services such as Bedrock, Lambda, ECS/EKS, API Gateway and S3. Experience with LangChain, LangGraph, RAG, vector databases and multi-agent systems. Experience building APIs, platforms, tools ...

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 ...

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 ...

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 ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

live, CI/CD and generative AI abstraction layers Model the cost, feasibility and risk of different LLMs and implementation approaches THE STACK AWS, Bedrock, LangGraph, LangChain, Python, FastAPI, PostgreSQL, Snowflake, Airflow, React, Next.js, Kubernetes. YOUR EXPERIENCE 15+ years in enterprise software engineering with a background in product engineering ...

design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks ...

controlled, auditable release processes suitable for banking environments. Cloud‐native AI platform engineering on AWS, with hands‐on delivery using services such as Amazon Bedrock for foundation models, agent orchestration patterns, Lambda and Step Functions, alongside demonstrated Python engineering capability and secure microservices and API design. AI governance ...

permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers. Hands‐on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost‐aware design of inference and infrastructure spend ...

teaming, model monitoring, content safety, LLMOps, GenAIOps or production support for AI systems Experience with non‐Microsoft AI platforms or services, such as AWS Bedrock, Amazon Q, SageMaker, Google Vertex AI, Anthropic Claude, OpenAI APIs or open‐source model ecosystems Familiarity with ISO 42001, NIST ...

equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll do Partner with stakeholders across the business to explore high‐impact opportunities. Own the full lifecycle: problem framing, data discovery, feature ...

cost‐efficient. Highly proficient with AWS – VPC, IAM, ELB/WAF, EC2, ECS, EKS, S3, Lambda, Step Functions, Glue, Kinesis, CloudWatch, CloudTrail, SageMaker, Bedrock, OpenSearch, RDS, ElastiCache, SES, KMS and more. Demonstrable experience with containerization technologies (Docker, Kubernetes) and infrastructure as code (IaC) tools such as Terraform, Terragrunt ...

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 ...

settings.Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.Behavioural CompetenciesStrong ownership and accountability for delivery outcomes.Clear, confident communication with both technical ...

handling * Experience with APIs, messaging, microservices, and event-driven architectures * Hands-on experience with LangChain, LangGraph, LangSmith, and AI-powered workflows * Familiarity with AWS Bedrock, AWS AgentCore, serverless, and container deployments (preferred) * Ability to evaluate technologies independently and influence engineering standards * Strong stakeholder management and mentoring skills This ...

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 ...