176 to 200 of 246 Amazon Bedrock Jobs

understanding of multi-AZ deployments, scaling patterns, and CI/CD workflows . Professional communicator — able to distill complex ideas into actionable, business-aligned insights. Bonus Points for AWS Bedrock or SageMaker experience Exposure to LLM-backed applications or AI/ML pipelines Experience working with influencer-led SaaS or personal-brand founders Familiarity with AppSec , compliance-light design More ❯

.NET 7, Blazor WebAssembly Puma, Sidekiq, GitHub Actions, Postgres, Redis, New Relic AWS; ECS, RDS Postgres, DynamoDB, Redshift Serverless, CDK New Relic, Insight Hub AI Tools: Cursor, CoPilot, AWS Bedrock, AWS Transcribe, AWS SageMaker About You You are highly self motivated and can work independently or partner closely with other engineers on a project. You have proven experience on More ❯

you had Experience working with large codebases and collaborating with multiple engineering teams in large companies Experience in diverse LLM deployment methods (eg hosted finetuned models via services like Bedrock, and running directly via engines like vLLM) Experience as a thought leader of engineering excellence internally and externally, including conference or meetup talks If this sounds like you then More ❯

Customer Success Builder, Amazon Q Customer Success Team (Q-CST) Job ID: AWS EMEA SARL (UK Branch) AWS is known for its relentless customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS technologies that align with the new ways of managing people and rearchitecting critical processes to leverage the capabilities of … Gen AI. Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make customer success a reality using AWS Gen AI services as an enabler. Q-CST Builders are responsible for architecting … and developing end-to-end solutions that leverage Generative AI technologies like Amazon Q and Bedrock. This role involves designing and implementing robust solution blueprints that seamlessly integrate Generative AI capabilities into existing systems or applications. Builders collaborate closely with Strategists and customer stakeholders to understand their requirements, translates them into technical specifications, and develops scalable and secure Generative More ❯

technologies and become a core part of the largest cloud infrastructure on the planet? AWS is seeking a ADC Engineer to own and advance mission critical services in our Amazon Dedicated Clouds (ADC). We are looking for Systems Engineers to work as a team that will deploy AWS generative AI and Machine Learning services, such as Bedrock … operational scalability that sustains the platform's insane growth. A successful engineer joining the team will do much more than write code and triage problems. They will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. They will dive deeply into technical issues and work diligently to improve the … its architecture to better understand system configuration and dependencies - Studying and learning along some of the industry's top experts on cloud computing - Expanding regional offerings for some of Amazon's Artificial Intelligence and Machine Learning services like Amazon SageMaker or Amazon Bedrock - Building and launching AWS services from ordering hardware to deploying software - Participating in More ❯

based architectures, to push the boundaries of natural speech generation. Your work will span areas such as prosody modeling, speech style transfer, multilingual synthesis, and controllable voice cloning, leveraging Amazon's vast compute infrastructure and rich multimodal datasets. You will be responsible for designing and experimenting with novel speech generation systems that combine text, phonetics, and audio to produce … other applied scientists, engineers, and product managers to translate research into customer-facing capabilities. You'll also partner with teams across AWS AI/ML, including those working on Bedrock, Alexa, and Amazon Connect, to ensure Polly's speech technology integrates seamlessly into broader generative AI experiences. As a scientific leader, you will regularly communicate your findings through … to distill complex models and experiments into actionable insights will influence the direction of both product development and future research initiatives at Amazon. About the team AWS Polly is Amazon's cloud-based text-to-speech service. We deliver lifelike voices and scalable APIs to customers around the world. The Polly science team builds next-generation speech generation models More ❯

are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to help deliver on cutting edge Gen.AI projects utilsing Bedrock/Sagemaker. If you have a perfect blend between Cloud Architecture and hands-on coding with Terraform/Kubernetes/Serverless, with some Object Oriented programming skills we want More ❯

expertise in LLMs, SLMs, (Large Language Models/Small Language Models) performance, suitability, training requirements, and deployment. Cloud & Hyperscalers – Practical experience with at least two of the following: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI, and Azure ML. An understanding of underlying statistics, machine learning and data science, data engineering, and big data concepts. An understanding of the More ❯

performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit More ❯

performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit More ❯

performance, reliability, and alignment. • Design and implement memory modules for short-term and long-term agent behaviours. • Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. • Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. • Build demo-ready user interfaces with tools like Streamlit More ❯

performance, reliability, and alignment. • Design and implement memory modules for short-term and long-term agent behaviours. • Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. • Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. • Build demo-ready user interfaces with tools like Streamlit More ❯

performance, reliability, and alignment. • Design and implement memory modules for short-term and long-term agent behaviours. • Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. • Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. • Build demo-ready user interfaces with tools like Streamlit More ❯

Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. TPBN1_UKTJ More ❯

Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. #J-18808-Ljbffr More ❯

performance, reliability, and alignment. • Design and implement memory modules for short-term and long-term agent behaviours. • Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. • Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. • Build demo-ready user interfaces with tools like Streamlit More ❯

and large-scale data sets and pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch). Hands-on experience with AI Cloud Infrastructure for MLOps (e.g.Google Vertex AI/AWS Bedrock), including deploying AI applications and managing AI cloud-based services. Expert knowledge of REST, and proficiency in designing and writing APIs. Nice-To-Have Experience with Automatic Prompt Engineering More ❯

challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1". About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills … candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most … of AI sales of business development - Extensive Domain knowledge of AI from a business level perspective - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS AI/ML services (SageMaker, Bedrock, CodeWhisperer, etc.) - Entrepreneruship/startup experience - Experience speaking at conferences and events - Experience in consulting or working for large, complex organisations #J-18808-Ljbffr More ❯

production-grade data infrastructure, preferably for ML/AI use cases with 1+ years working with LLM's. Proficiency with AWS data tooling and cloud-native services; experience with Amazon Bedrock or Claude integration is a plus. Experience with vector databases and embedding pipelines. Familiarity with or interest in graph-based data models and Graph RAG architectures is More ❯

impact. Experience in providing solutions using Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock, GCP Vertex AI) and employee-facing AI platforms (Microsoft Copilot Studio, Google Agentspace, Amazon Q Business). Knowledge of agentic frameworks (Langgraph, Autogen, Agent Development Kit) and machine More ❯

and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. Annapurna Labs (our organization within AWS UC) designs silicon and software … compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. The Team: the Amazon Annapurna Labs team is responsible for building innovation in silicon and … candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

Tableau, Power BI, and AWS/Azure. Responsibilities include deploying tooling through cloud platforms, utilizing new LLM models, and building out new pipelines. Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) If you are a skilled Data Engineer (Python, SQL, Tableau, AWS, Azure) interested in this role, please apply below, and I will be in touch More ❯

deploying tooling through cloud platforms, utilizing new LLM models, and building out new pipelines. Proficiency in Python and SQL Experience with Tableau and Power BI Knowledge of Terraform and Bedrock Experience with AWS services (DMS, Redshift, S3) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) interested in this role, please apply below, and I will be More ❯