Would you like to do this using the latest cloud technologies while becoming a core part of the largest cloud infrastructure on the planet? Amazon Web Services (AWS) is seeking a Systems Development Engineer II to own and advance mission-critical services in our Amazon Dedicated Clouds (ADC … who provide troubleshooting and operations support, and innovate to automate operational tasks. About the team AI/ML ADC The AI/ML U.S. Amazon Dedicated Cloud (ADC) organization is a pioneering force in delivering secure, advanced artificial intelligence and machine learning solutions to government and enterprise customers operating … the highest standards of security and compliance. We enable reliable, efficient builds and operations for services like SageMaker, Comprehend, Translate, Transcribe, Textract, Rekognition, and Bedrock in US ADC regions. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered More ❯
Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage … demonstrated ability to extract meaningful insights from complex, large-scale datasets AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience More ❯
B2B Roles & Responsibilities: We seek a skilled and proactive Senior Platform Engineer to design, build, and support scalable cloud infrastructure and automation pipelines on Amazon Web Services (AWS). You will work closely with DevOps, Security, Data, and AI Application teams to ensure platform reliability, security, and performance. Your … development, staging, and production environments. Automate operational tasks, environment provisioning, and deployments using scripting languages such as Python , Bash, or PowerShell. Enable and maintain Amazon SageMaker environments for scalable ML model training, hosting, and pipelines. Integrate AWS Bedrock to provide foundation model access for generative AI applications, ensuring … Collaborate with security and compliance teams to implement best practices around IAM, encryption, logging, monitoring, and cost optimization. Implement and manage observability tools like Amazon CloudWatch, Prometheus/Grafana, or ELK for monitoring and alerting. Support container orchestration environments using EKS (Kubernetes), ECS, or Fargate. Contribute to incident response More ❯
development, staging, and production environments. Automate operational tasks, environment provisioning, and deployments using scripting languages such as Python, Bash, or PowerShell. Enable and maintain Amazon SageMaker environments for scalable ML model training, hosting, and pipelines. Integrate AWS Bedrock to provide foundation model access for generative AI applications, ensuring … Collaborate with security and compliance teams to implement best practices around IAM, encryption, logging, monitoring, and cost optimization. Implement and manage observability tools like Amazon CloudWatch, Prometheus/Grafana, or ELK for monitoring and alerting. Support container orchestration environments using EKS (Kubernetes), ECS, or Fargate. Contribute to incident response More ❯
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 Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate … include: 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, software design and operations in hybrid environments as well as complex projects at scale. Solutions: Demonstrated More ❯
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 … 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 More ❯
days a week We seek a skilled and proactive Senior Platform Engineer to design, build, and support scalable cloud infrastructure and automation pipelines on Amazon Web Services (AWS). You will work closely with DevOps, Security, Data, and AI Application teams to ensure platform reliability, security, and performance. Your … development, staging, and production environments. Automate operational tasks, environment provisioning, and deployments using scripting languages such as Python, Bash, or PowerShell. Enable and maintain Amazon SageMaker environments for scalable ML model training, hosting, and pipelines. Integrate AWS Bedrock to provide foundation model access for generative AI applications, ensuring … Collaborate with security and compliance teams to implement best practices around IAM, encryption, logging, monitoring, and cost optimization. Implement and manage observability tools like Amazon CloudWatch, Prometheus/Grafana, or ELK for monitoring and alerting. Support container orchestration environments using EKS (Kubernetes), ECS, or Fargate. Contribute to incident response More ❯
Customer Success Builder, Amazon Q Customer Success Team (Q-CST) 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 … 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 More ❯
You will need to login before you can apply for a job. Customer Success Builder, Amazon Q Customer Success Team (Q-CST) View more categories View less categories Sector Customer Services Contract Type Permanent Hours Full Time DESCRIPTION AWS is known for its relentless customer obsession. Our Professional Services … 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 … 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 More ❯
Sr. Consultant, Customer Experience, Tech & Industry Job ID: Amazon Web Services Japan GK The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to … 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 … environment, particularly building application integration capabilities for CRM/WFM platforms - Professional Services or Consulting experience in highly-visible customer-facing roles - Familiarity with Amazon Connect capabilities, benefits, and required deployment skills - Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure. - Enterprise More ❯
Senior Software Development Engineer - GenAI, Amazon Ads - Creative X DESCRIPTION Shape the future of Generative AI at Amazon! Join our team building the infrastructure and platforms that power next-generation AI capabilities used by thousands of developers across Amazon's products and services. Be part of a … and scalability. Key Highlights: Work directly with AI researchers and scientists to transform innovative ideas into production systems Build and own critical infrastructure powering Amazon's next-generation AI capabilities Create developer platforms and tools that accelerate AI innovation Drive the future of ethical and sustainable AI development Work … with advanced technologies including AWS Bedrock, SageMaker, and custom MLOps tools What You'll Do: Design and implement scalable, production-ready AI infrastructure and platforms Create intuitive tools and interfaces for AI model deployment and management Build robust APIs and services that enable AI capabilities across Amazon Collaborate More ❯
/CD and observability initiatives, and contributing to model and vendor risk assessments. Key Responsibilities: Design and implement Python-based automation frameworks on AWS Bedrock, integrating securely with internal systems. Automate and optimize work flows across Operations, Compliance, and Risk using micro services and LLM agents. Develop and refine … Bedrock model strategies; monitor and improve agent performance, latency, and cost. Define SLIs/SLOs, build dashboards, support CI/CD and observability, and contribute to model/vendor risk assessments. Qualifications: 8+ years experience of Software Engineering using Python 3+ years designing distributed, event-driven systems in AWS … Proven experience of 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 SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption Familiarity with financial or regulated environments and More ❯
/CD and observability initiatives, and contributing to model and vendor risk assessments. Key Responsibilities: Design and implement Python-based automation frameworks on AWS Bedrock, integrating securely with internal systems. Automate and optimize work flows across Operations, Compliance, and Risk using micro services and LLM agents. Develop and refine … Bedrock model strategies; monitor and improve agent performance, latency, and cost. Define SLIs/SLOs, build dashboards, support CI/CD and observability, and contribute to model/vendor risk assessments. Qualifications: 8+ years experience of Software Engineering using Python 3+ years designing distributed, event-driven systems in AWS … Proven experience of 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 SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption Familiarity with financial or regulated environments and More ❯
/CD and observability initiatives, and contributing to model and vendor risk assessments. Key Responsibilities: Design and implement Python-based automation frameworks on AWS Bedrock, integrating securely with internal systems. Automate and optimize work flows across Operations, Compliance, and Risk using micro services and LLM agents. Develop and refine … Bedrock model strategies; monitor and improve agent performance, latency, and cost. Define SLIs/SLOs, build dashboards, support CI/CD and observability, and contribute to model/vendor risk assessments. Qualifications: 8+ years experience of Software Engineering using Python 3+ years designing distributed, event-driven systems in AWS … Proven experience of 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 SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption Familiarity with financial or regulated environments and More ❯
/CD and observability initiatives, and contributing to model and vendor risk assessments. Key Responsibilities: Design and implement Python-based automation frameworks on AWS Bedrock, integrating securely with internal systems. Automate and optimize work flows across Operations, Compliance, and Risk using micro services and LLM agents. Develop and refine … Bedrock model strategies; monitor and improve agent performance, latency, and cost. Define SLIs/SLOs, build dashboards, support CI/CD and observability, and contribute to model/vendor risk assessments. Qualifications: 8+ years experience of Software Engineering using Python 3+ years designing distributed, event-driven systems in AWS … Proven experience of 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 SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption Familiarity with financial or regulated environments and More ❯
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 … 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 … 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.) Entrepreneurship/startup experience. Experience speaking at conferences and events. Experience in consulting or working for large, complex organisations. Amazon is More ❯
how we built the world's most adopted cloud. Join us and help us grow. Do you want to own driving the adoption of Amazon Web Services (AWS) in ANZ's largest and most innovative companies? Want to be part of a cross-functional team focused on increasing technology … by engaging directly with C-level executives and influencers at all levels? As part of a single-threaded team focusing on AI & ML (SageMaker, Bedrock and Amazon Q), you will be working with enterprise, digital native, startup and ISV customers and their existing account representatives to qualify opportunities More ❯
Delivery Consultant - Data & Analytics, Professional Services The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet … years of experience with direct customer (internal or external) interaction with responsibilities in AI/ML/GenAI solutions design, architecture and implementation (AmazonQ, Bedrock, Sagemaker as a Product and Data Governance including Data quality and controls, etc.) A minimum of 3 years working experience in ASEAN region, and … please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯
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 More ❯
reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation goals. 2. Executive & Client Advisory a. Advise C-suite and board-level stakeholders on CoPilot-driven business … Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence, with experience advising public-sector and Fortune-level clients. • Governance & Compliance: Deep More ❯
reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation goals. 2. Executive & Client Advisory a. Advise C-suite and board-level stakeholders on CoPilot-driven business … Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence, with experience advising public-sector and Fortune-level clients. • Governance & Compliance: Deep More ❯
reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation goals. 2. Executive & Client Advisory a. Advise C-suite and board-level stakeholders on CoPilot-driven business … Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence, with experience advising public-sector and Fortune-level clients. • Governance & Compliance: Deep More ❯
reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation goals. 2. Executive & Client Advisory a. Advise C-suite and board-level stakeholders on CoPilot-driven business … Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence, with experience advising public-sector and Fortune-level clients. • Governance & Compliance: Deep More ❯
job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and utilize AWS services such as AWS Glue, Amazon S3, DynamoDB, RDS, EMR, Kinesis, Redshift, Athena, Lake Formation, DataZone, SageMaker, Quicksight, and Bedrock. Solutions: Support pre-sales and technical engagements, including participating in … of serverless distributed solutions Australian citizen with ability to obtain security clearance - AWS Professional level certification Acknowledgement of country: In the spirit of reconciliation, Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea, and community. IDE statement: Amazon is an equal opportunity More ❯
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive … and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. … space. You'll be an integral part of testing the app built by services that leverage AWS technologies like SageMaker, Forecast, Athena, QuickSight, Glue, Bedrock, ML and more. As a QA member of the team, you'll wear many hats. You'll help design the overall test strategy, test More ❯
