1 to 25 of 73 Remote/Hybrid Permanent Amazon Bedrock Jobs

engineering best practices , covering LLMOps, MLOps, CI/CD, automated evaluation, observability, security, performance and cost optimisation. Work extensively with AWS AI services , including Amazon Bedrock, Bedrock AgentCore, SageMaker, Lambda and Step Functions. What We Are Looking For: Proven experience as an Engineering Manager or Technical Lead … agent frameworks such as LangGraph, Strands Agents or Claude Agent SDK, alongside interoperability standards including MCP and A2A. Strong AWS cloud engineering experience, particularly Amazon Bedrock, Bedrock AgentCore, SageMaker, Lambda and Step Functions, with Infrastructure as Code using AWS CDK or equivalent. Hands-on experience with LLMOps ...

errors. 2. Knowledge Base & Prompt Lifecycle Management Curate, clean, and organize internal runbooks, standard operating procedures (SOPs), threat intelligence, and product documentation stored in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Service . Audit AI retrieval quality and document gaps in knowledge coverage that lead to model … ticketing/orchestration platforms (e.g., Jira, ServiceNow, PagerDuty, or SOAR platforms). Cloud & Search Interface Familiarity: Working comfort navigating the AWS Management Console (specifically Amazon Bedrock, Amazon OpenSearch Dashboards, and CloudWatch metrics). Communication & Documentation: Strong technical writing skills with experience authoring security runbooks, SOPs, and structured ...

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 ...

Location: London; UKWork type: HybridSeniority: Senior ManagementPrimary skill: Amazon Web ServicesPosted: 2026-10-23When a migration programme scales up, the difference between a smooth transition and a costly setback is measured in the details. The Principal AWS Migrations Lead role in London sits at the centre of cloud … example Terraform, CloudFormation) and scripting (for example Python)Hands-on experience using AI to accelerate migration and modernisation, with proficiency in technologies such as Amazon Bedrock, Amazon Q, Kiro or ClaudeExcellent communication, problem-solving and delivery-management skills, with a track record of delivering on budget ...

Strands Agents, LangGraph or the Claude Agent SDK, and with interoperability standards such as MCP and A2A.Strong cloud-native expertise on AWS, especially Amazon Bedrock and Bedrock AgentCore, alongside SageMaker, Lambda and Step Functions, with CDK or equivalent IaC.Hands-on LLMOps and MLOps experience, including agent … capabilities consumed by multiple product teams, such as internal MCP servers or agent tooling.Experience with vector search at scale, using tools such as OpenSearch, Amazon S3 Vectors or pgvector.Familiarity with AI governance and regulation, and with putting responsible AI practices into day-to-day engineering.An advanced degree in computer ...

pipelines, prompt engineering, or fine-tuningProduction AI systems - experience with LLM observability (Langfuse), token management, streaming, and reliability patternsAWS expertise - Lambda, ECS, DynamoDB, OpenSearch, Bedrock, or similar cloud servicesStreaming architectures - SSE, WebSockets, event-driven systemsFintech/compliance background - AML, sanctions screening, KYC, or regulated industry experienceMicro-frontend experience - Module ...

development. Hands-on experience with Generative AI, LLMs, RAG solutions and AI agent frameworks. Experience with technologies such as OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, LangChain, LangGraph and LlamaIndex. Experience deploying and monitoring AI solutions using MLOps and LLMOps best practices. Knowledge of Azure, AWS or GCP, alongside ...

generated code.Champion software engineering excellence through testing, automation, documentation, and continuous improvement.AI-Native Software DevelopmentBuild production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies.Apply an AI-first mindset to software development by incorporating AI-assisted tools and automation into daily ...

Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI-Native Software DevelopmentBuild production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI-first mindset to software development by incorporating AI-assisted tools and automation into ...

Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch ...

What we need Must have Strong AWS architecture background Hands-on experience building agentic AI/AI agent platforms on AWS Strong knowledge of Amazon Bedrock AgentCore/Bedrock ecosystem Able to define architecture and technical patterns for enterprise-grade agentic solutions Strong understanding of LLMs, agent ...

Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

LLMs or developing proof-of-concept applications. Ideally, you'll bring experience across: LLMs & Agentic AI: Experience building applications using OpenAI, Anthropic Claude, AWS Bedrock or similar. AI Orchestration: LangGraph, LangChain, Strands Agents, Semantic Kernel, AutoGen or comparable frameworks. Backend Engineering: Strong Python development skills, ideally with FastAPI ...

agent behaviourStrong Python, with experience building production-grade systemsAt least one major cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or AnthropicFamiliarity with semantic modelling, ontologies or knowledge graph conceptsProven ability to rapidly prototype solutions for client validationExperience working directly with clients in consulting or professional servicesDesirablePrevious ...

Strong Python, with a track record of production-grade workflows Experience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or Anthropic Working knowledge of semantic modelling, ontologies or knowledge graphs Ability to turn open-ended business problems into working prototypes quickly Comfortable ...

tool patternsStrong Python, with a track record of production-grade workflowsExperience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or AnthropicWorking knowledge of semantic modelling, ontologies or knowledge graphsAbility to turn open-ended business problems into working prototypes quicklyComfortable in client-facing delivery ...

approach to AI experimentation and AI-assisted coding. Desirable Experience Model Context Protocol ( MCP ) and AI agents. AWS, particularly Lambda, SQS/SNS, Bedrock or S3. Vector databases, embeddings and retrieval-augmented generation (RAG). Prompt engineering and LLM evaluation. Docker, CI/CD and multi-tenant SaaS platforms. ...

providers: hands-on production work with at least 2 of Anthropic, OpenAI, Google, and open-weight models (direct APIs or via Azure AI Foundry, Bedrock, Vertex); tool use and function calling, structured outputs, context and token management, prompt architecture Agentic systems: designing, hosting, and operating autonomous and semi-autonomous ...

strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape ...

powered applications in production environments, including appropriate observability and evaluation mechanisms.Practical experience with enterprise AI platforms such as Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar.Strong understanding of LLM concepts and vector databases, including context windows, temperature and sampling parameters, system prompts and tool/function calling.Experience ...

powered applications in production environments, including appropriate observability and evaluation mechanisms.Practical experience with enterprise AI platforms such as Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar.Strong understanding of LLM concepts and vector databases, including context windows, temperature and sampling parameters, system prompts and tool/function calling.Experience ...

powered applications in production environments, including appropriate observability and evaluation mechanisms.Practical experience with enterprise AI platforms such as Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar.Strong understanding of LLM concepts and vector databases, including context windows, temperature and sampling parameters, system prompts and tool/function calling.Experience ...

powered applications in production environments, including appropriate observability and evaluation mechanisms. Practical experience with enterprise AI platforms such as Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar. Strong understanding of LLM concepts and vector databases, including context windows, temperature and sampling parameters, system prompts and tool/ ...

powered applications in production environments, including appropriate observability and evaluation mechanisms. Practical experience with enterprise AI platforms such as Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar. Strong understanding of LLM concepts and vector databases, including context windows, temperature and sampling parameters, system prompts and tool/ ...