1 to 25 of 224 Amazon Bedrock Jobs

maintaining cloud-based platforms and infrastructure, with a focus on AWS. Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda … identity management in cloud environments, including AWS-specific best practices. Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, the ELK stack, Amazon CloudWatch, and AWS X-Ray). Experience with version control systems (e.g., Git) and scripting languages (e.g., Python, Bash, Go). Ability to troubleshoot ...

intersection of AI engineering and cloud architecture, owning the end-to-end implementation of multi-agent pipelines, knowledge bases, and orchestration frameworks using Amazon Bedrock and its surrounding ecosystem. The right candidate has shipped real AI agents to production — not just prototypes — and brings the rigour … software engineer to a space that often lacks it. Key Responsibilities Design and implement production agentic AI systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate, and maintain MCP (Model Context Protocol) servers ...

cloud governance engagements. You will own the client-facing pre-sales cycle for AI/GenAI work – running scoping calls, designing solutions on Amazon Bedrock, SageMaker and associated services, estimating effort, writing commercially sound Statements of Work, and providing ongoing strategic advisory to customers. Beyond AI, you will … stay technically current and want to get their hands dirty alongside the delivery team. Key Responsibilities Design AI/GenAI solutions on AWS (Amazon Bedrock, Bedrock Agents, Amazon Q, SageMaker, associated serverless and data services) and produce architecture documentation for customer engagements. Scope and design broader ...

role in developing the underlying AWS environment, with an initial focus on federated identity and consolidating existing integrations into core AWS technologies, including Amazon Bedrock and Bedrock AgentCore. Operating within a highly regulated environment, you'll combine hands-on engineering expertise with strong technical judgement to ensure … technologies. Working with solution architects and technical Business Analysts to translate requirements into implementable and auditable solutions. Supporting the integration and use of Amazon Bedrock and Bedrock AgentCore. Ensuring solutions meet appropriate risk, assurance and design controls. Making informed technical decisions across a complex and evolving cloud ...

role in developing the underlying AWS environment, with an initial focus on federated identity and consolidating existing integrations into core AWS technologies, including Amazon Bedrock and Bedrock AgentCore. Operating within a highly regulated environment, you'll combine hands-on engineering expertise with strong technical judgement to ensure … technologies. Working with solution architects and technical Business Analysts to translate requirements into implementable and auditable solutions. Supporting the integration and use of Amazon Bedrock and Bedrock AgentCore. Ensuring solutions meet appropriate risk, assurance and design controls. Making informed technical decisions across a complex and evolving cloud ...

intake and adjudication to payments and denial management. Working alongside data scientists, engineers, cloud architects, and healthcare specialists, you will drive implementation using AWS Bedrock AgentCore and related services. This role offers the opportunity to shape enterprise AI strategy, accelerate intelligent automation, and deliver measurable operational improvements across high … solutions, taking responsibility for technical execution, project planning, risk management, delivery quality, and stakeholder communication. Architect and implement agentic AI systems using AWS Bedrock AgentCore Runtime, Strands SDK or equivalent frameworks, and supporting AWS services. Design and orchestrate agentic AI patterns, including ReAct, tool use, and multi-agent collaboration ...

ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional … attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. ...

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 ...

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 ...

GovCloud Architecture & Management: Design, implement, and maintain secure, scalable, and compliant AWS GovCloud environments supporting DoD and federal applications. Work with AWS services including Amazon EKS, ECS/Fargate, IAM, VPC, S3, CloudWatch, and other approved cloud-native services. DevSecOps Pipeline Development: Build, maintain, and improve CI/… control, peer review, automated validation, and repeatable deployment practices. Containerization & Orchestration: Deploy and operate containerized applications using Docker/OCI containers and Kubernetes, including Amazon EKS. Support workload configuration, networking, storage, secrets, scaling, resource management, upgrades, security, and troubleshooting. Security & Compliance: Integrate security throughout the software development lifecycle ...

tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads … platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will ...

through enterprise review, and make evidence-based build-vs-buy and model decisions Deliver a model gateway and access layer. Provide governed access to Amazon Bedrock and other approved models, covering routing, fallback, caching, rate limits, cost tracking and access control Establish retrieval (RAG) as a platform service … Experience embedding AI workflows into existing applications in production, giving you a strong sense of what teams need from a platform Practical experience with Amazon Bedrock and the wider AWS AI and platform stack (for example Bedrock Agents or AgentCore, Knowledge Bases, Guardrails, OpenSearch or pgvector, Lambda ...

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 ...

Take AI features from prototype through to secure, reliable production deployment. Design and deploy AI/ML workloads on AWS, using services such as Amazon Bedrock or SageMaker, alongside S3, IAM and Lambda. Assess commercial APIs, hosted models and open-weight alternatives against capability, cost, latency and data … background and a track record of shipping AI/LLM systems into production. Strong hands-on experience deploying AI/ML workloads on AWS. Amazon Bedrock experience would be a significant advantage. Practical experience with RAG, embeddings and processing unstructured data. Confidence designing for security, privacy, tenant isolation ...

Take AI features from prototype through to secure, reliable production deployment. Design and deploy AI/ML workloads on AWS, using services such as Amazon Bedrock or SageMaker, alongside S3, IAM and Lambda. Assess commercial APIs, hosted models and open-weight alternatives against capability, cost, latency and data … background and a track record of shipping AI/LLM systems into production. Strong hands-on experience deploying AI/ML workloads on AWS. Amazon Bedrock experience would be a significant advantage. Practical experience with RAG, embeddings and processing unstructured data. Confidence designing for security, privacy, tenant isolation ...

GenAI, Global Education Job ID: 10470021 | AWS EMEA SARL (UK Branch) - F93 Would you like to be part of a mission-driven team at Amazon Web Services (AWS) that is helping the world's education customers innovate with generative AI? Do you have the business acumen, technical depth … education industry experience to help EdTech companies, higher education institutions, and ministries of education adopt the leading AI models on AWS? Through Amazon Bedrock, customers access models from leading AI companies such as OpenAI and Anthropic, as well as open-weight models, with the security, governance, and operational ...

including model hosting, request routing, continuous batching, and KV-cache optimization Deploy, host, and lifecycle-manage open-source and proprietary LLMs on Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines Implement observability (logs … experience operating LLM inference servers such as vLLM and llm-d (or directly equivalent serving stacks) Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure Knowledge of LLM reliability and risk considerations, including latency/throughput trade ...

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 … 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 ...

deliver production‐ready AI solutions in complex professional environments. Strong consulting, stakeholder engagement, problem‐solving, and technical leadership capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena … Data warehousing & serverless analytics Amazon EMR - Big data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data & AI workflows Amazon QuickSight - BI, dashboards & visualisation Python, SQL, R & PySpark - Data science & analytics As an equal opportunities’ employer, we welcome applications from individuals ...

Evaluation Frameworks. Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen. Hands-on experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock and SageMaker, Google Vertex AI, and hybrid and multi-cloud architectures. Strong programming experience with Python, Java, Scala, TypeScript, and SQL. Experience with Kubernetes, Docker, Terraform, Bicep ...

with an airport (for example London). Willingness to travel for partner workshops and regional programs (approx. 25-35%). Of advantage: familiarity with Amazon Bedrock (AWS Bedrock). Of advantage: experience enabling cloud partners, hyperscalers, systems integrators or partner field organisations. Of advantage: experience building hands ...

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 ...

prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation ...

prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation ...

prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation ...