Amazon
Delivery Consultant - AI/ML, AWS Professional Services
Job ID: 3147953 | Amazon Web Services, Inc. Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades – pioneering and shaping the world’s AI technology? Key responsibilities
Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies. This is a customer-facing role with potential travel to customer sites as needed. Basic Qualifications
3+ years of cloud architecture and solution implementation experience Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3) Experience implementing AWS services in a variety of distributed computing environments Preferred Qualifications
5+ years of IT implementation experience Degree in advanced technology, or AWS Professional level certification Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies Knowledge of security and compliance standards including HIPAA and GDPR Experience and technical expertise (design and implementation) in cloud computing technologies Experience leading the design, development and deployment of business software at scale or recent hands‑on technology infrastructure, network, compute, storage, and virtualization experience Experience in performance optimization and cost management for cloud environments Experience presenting technical solutions to diverse audiences in pre‑sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted:
July 25, 2025 (Updated 5 days ago)
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Job ID: 3147953 | Amazon Web Services, Inc. Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades – pioneering and shaping the world’s AI technology? Key responsibilities
Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies. This is a customer-facing role with potential travel to customer sites as needed. Basic Qualifications
3+ years of cloud architecture and solution implementation experience Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3) Experience implementing AWS services in a variety of distributed computing environments Preferred Qualifications
5+ years of IT implementation experience Degree in advanced technology, or AWS Professional level certification Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies Knowledge of security and compliance standards including HIPAA and GDPR Experience and technical expertise (design and implementation) in cloud computing technologies Experience leading the design, development and deployment of business software at scale or recent hands‑on technology infrastructure, network, compute, storage, and virtualization experience Experience in performance optimization and cost management for cloud environments Experience presenting technical solutions to diverse audiences in pre‑sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted:
July 25, 2025 (Updated 5 days ago)
#J-18808-Ljbffr