101 to 125 of 238 Amazon Bedrock Jobs

infrastructure. Key Responsibilities: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks … technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL More ❯

infrastructure. Key Responsibilities: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks … technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL More ❯

infrastructure. Key Responsibilities: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks … technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL More ❯

infrastructure. Key Responsibilities: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks … technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL More ❯

infrastructure. Key Responsibilities: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks … technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL More ❯

Angular/TypeScript for the frontend, SQL Server and PostgreSQL for our relational databases and Terraform for our infrastructure as code. Our platform is hosted on wide range of Amazon Web Services including EC2, ECS, Lambda, RDS, S3, DynamoDB and SQS. We also use Amazon Bedrock to build cutting edge generative AI applications, SwiftUI for our native More ❯

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 … with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Scientific thinking and the More ❯

fields is a plus. • Experience with machine learning libraries such as PyTorch, TensorFlow, JAX is a plus. • Experience applying generative AI solutions (via open source tools or through Azure, Amazon Bedrock, Nvidia etc.) is a plus. • Experience with cloud technologies (Azure, AWS, Google Cloud Platform) is a plus. Our benefits To help you stay energized, engaged and inspired More ❯

understanding of cloud-native architectures (AWS preferred). Experience leading technical teams and mentoring engineers. Excellent stakeholder management and communication skills. Preferred Qualifications: Familiarity with AWS AI services (e.g. Bedrock, SageMaker, Lambda, Step Functions). Experience with low/no-code GenAI tools. Background in API design, platform development, or DevOps for AI systems. Exposure to ethical AI and More ❯

designing scalable solutions. Excellent communication skills, both written and verbal. Desirable things we like Experience with MLOps tools and practices, including model deployment and lifecycle management. Familiarity with AWS Bedrock or similar services for generative and agentic AI capabilities. Contributions to data-related projects or a portfolio showcasing complex data engineering solutions. Interest in sustainability and using data to More ❯

Senior Software Development Engineer - GenAI, Amazon Ads - Creative X Join to apply for the Senior Software Development Engineer - GenAI, Amazon Ads - Creative X role at Amazon Continue with Google Continue with Google Senior Software Development Engineer - GenAI, Amazon Ads - Creative X 2 days ago Be among the first 25 applicants Join to apply for the Senior … Software Development Engineer - GenAI, Amazon Ads - Creative X role at Amazon Description How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and customers find each other in a meaningful way? Amazon Ads creates and transforms the connection between retailers/service providers and customers. Join the CreativeX org … through technology, scale and automation. If you are passionate about developing analytical solutions to solve business problems and are looking for a team that drives results to help influence Amazon business decisions, this is the right place for you. Description How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and More ❯

Delivery Consultant - Machine Learning (GenAI), ProServe SDT North Job ID: Amazon Web Services EMEA SARL, Dutch Branch AWS Professional Services is a unique organization. Our customers are most-advanced companies in the world. We build for them world-class, cloud-native IT solutions to solve real business problems and we help them get business outcomes with AWS. Our projects … are often unique, one-of-a-kind endeavors that no one ever has done before. At Amazon Web Services (AWS), we are helping large enterprises build AI solutions on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address … AI solutions with our customers. You will take advantage of the global scale, elasticity, automation and high-availability features of the AWS platform. You will build customer solutions with Amazon SageMaker, Amazon Bedrock, Amazon Elastic Compute (EC2), Amazon Data Pipeline, Amazon S3, Glue, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon More ❯

business problems and we help them get business outcomes with AWS. Our projects are often unique, one-of-a-kind endeavors that no one ever has done before. At Amazon Web Services (AWS), we are helping large enterprises build AI solutions on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide … AI solutions with our customers. You will take advantage of the global scale, elasticity, automation and high-availability features of the AWS platform. You will build customer solutions with Amazon SageMaker, Amazon Bedrock, Amazon Elastic Compute (EC2), Amazon Data Pipeline, Amazon S3, Glue, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, AWS Lake Formation and other AWS services. You will collaborate across the whole AWS organization, with other consultants, customer teams and partners on proof-of-concepts, workshops and complex implementation projects. You will innovate and experiment to help Customers achieve their business outcomes and deliver production-ready solutions at global scale. You More ❯

with fellow developers? Are you excited to explore how Generative AI will transform how software is designed, implemented, and deployed? If so, then this might be your dream job. Amazon Web Services (AWS) is seeking a Developer Advocate (DA) focusing on Generative AI to join the Developer Experience team in Bangalore, India. You'll be at the forefront of … in the life Your day might start with a team standup, aligning on current projects. You could spend the morning preparing for an upcoming workshop on how to use Amazon Q for code generation, refactoring and automated testing. In the afternoon, you might spend time answering questions on Stack Overflow about integrating AWS Generative AI services into everyday software … backgrounds. PREFERRED QUALIFICATIONS • Proven experience developing applications using generative AI tools and foundational models, including prototypes and production-ready solutions. • Proficiency with modern LLM/AI tools (e.g., LlamaIndex, Amazon Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem. • Experience with AWS AI/ML services such as Amazon More ❯

SA, EU North , AGS-EMEA-Europe North Are you passionate about helping customers build solutions leveraging state-of-the-art Artificial Intelligence, Machine Learning and Deep Learning tools on Amazon Web Service (AWS)? Would you like to focus on developing agentic AI systems for our Europe North customers? Come join us! At Amazon, we’ve been investing deeply …/ML SA), to join our other Subject Matter Experts (SMEs) in helping customers in Europe North (BeNeLux, Nordics and Baltics) design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. As part of the team, you will work closely with customers to enable large-scale use cases, design GenAI pipelines … you want to educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us. A day in the life Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career More ❯

a trajectory to success? Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's best for the customer and … also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Senior Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution. … in ambiguity and mentoring junior teams. Expertise: Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, engineering, software design and operations in hybrid environments as well as complex projects at scale. Solutions: Demonstrated consulting skills, ideally through More ❯

Delivery Practice Manager - Data Analytics, ASEAN Professional Services The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In this role, you'll manage a team of ProServe Delivery Consultants while supporting AWS enterprise customers through transformative projects. … to address customer outcomes. Possessing the ability to translate technical concepts into business value for customers and then talk in technical depth with teams, you will cultivate strong customer, Amazon Global Sales (AGS), and ProServe team relationships which enables exceptional business performance. DPMs success is primarily measured by consistently delivering customer engagements by supporting sales through scoping technical requirements … 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 More ❯

Angular/TypeScript for the frontend, SQL Server and PostgreSQL for our relational databases and Terraform for our infrastructure as code. Our platform is hosted on wide range of Amazon Web Services including EC2, ECS, Lambda, RDS, S3, DynamoDB and SQS. We also use Amazon Bedrock to build cutting edge generative AI applications, SwiftUI for our native More ❯

Category: Other EU work permit required: Yes Job Reference: d5e7d1131dc6 Job Views: 2 Posted: 29.06.2025 Expiry Date: 13.08.2025 Job Description: Responsibilities Design agentic automation framework in Python on AWS Bedrock Deploy Jira workflows into microservices and LLM agents Own end-to-end delivery of automation solutions across the business, Operations, Compliance, Risk Build secure, high-performance integrations with core … internal systems Develop prompt strategies, retrieval augmentation, and guard-rail policies for Bedrock models Measure and tune agent output quality, latency, and cost Mentor junior engineers; drive coding standards, code reviews, CI/CD hygiene Skills & Experience Required 8+ years' experience of professional software engineering (Python preferred) with at least 3 years' designing distributed, event-driven systems in AWS … Proven production experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar) Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs Strong grasp of security for SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption Familiarity with financial or regulated environments and related control frameworks, SOC 2, governance Hands-on More ❯

for developers that leverage artificial intelligence and machine learning. You will be part of a team building Large Language Model (LLM)-based services with the focus on enhancing the Amazon developer experience in the Cloud. The team works in close collaboration with other AWS services such as AWS Cloud9, the AWS IDE Toolkit and AWS Bedrock. If you are … into production systems. Lead cross team projects and ensure technical blockers are resolved Communicate and document your research via publishing papers in external scientific venues. About the team The Amazon Web Services (AWS) Next Gen DevX (NGDE) team uses generative AI and foundation models to reimagine the experience of all builders on AWS. We collaborate closely with Builder Tools … to improve the experience of Amazon's builders. From the IDE to web-based tools and services, AI will help engineers work on large and small applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about More ❯

traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success. Responsibilities Design agentic automation framework in Python on AWS Bedrock Decompose Jira workflows into microservices and LLM agents Own end-to-end delivery of automation solutions across the business, e.g. Operations, Compliance, Risk Build secure, high-performance integrations with … core internal systems Develop prompt strategies, retrieval augmentation, and guard-rail policies for Bedrock models Measure and tune agent output quality, latency, and cost Mentor junior engineers; drive coding standards, code reviews, CI/CD hygiene Skills & Experience Required 8+ years’ experience of professional software engineering (Python preferred) with at least 3 years’ designing distributed, event-driven systems in … AWS Proven production experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar) Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs Strong grasp of security for SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption Familiarity with financial or regulated environments and related control frameworks, e.g. SOC 2, model More ❯

high-trust environment Proven record of mentoring engineers and setting engineering standards on distributed teams Daily user of AI coding assistants (e.g. Copilot) and experienced embedding LLM workflows (LangChain, Bedrock, Vector DBs) to lift team productivity Desirable: Strong DevOps & observability chops Domain knowledge in Energy or FinTech sector Has worked in fully-remote, product-oriented teams shipping consumer-facing More ❯

and learn quickly in a fast-paced but supported environment. Bonus Points: Experience in the life sciences sector, specifically within clinical trial design or related function. Experience with AWS Bedrock, AWS OpenSearch and or Azure ML Studio, Azure AI Foundry. Experience with Serverless Architectures in Azure/AWS/GCP. Experience with open-source LLMs or Small Language Models More ❯

and learn quickly in a fast-paced but supported environment. Bonus Points: Experience in the life sciences sector, specifically within clinical trial design or related function. Experience with AWS Bedrock, AWS OpenSearch and or Azure ML Studio, Azure AI Foundry. Experience with Serverless Architectures in Azure/AWS/GCP. Experience with open-source LLMs or Small Language Models More ❯

years of overall experience required. 1 year of experience with Generative AI, small & large language model architectures, computer vision, and reinforcement learning desired. Familiarity with cloud platforms (AWS Bedrock or Azure AI services) and open-source solutions (Ollama, Open WebUI, Flowise, etc.) desired. A solid understanding of machine learning (ML) and artificial intelligence (AI) workflows and evaluating model accuracies More ❯