Amazon Web Services (AWS)
Delivery Consultant – SAP GenAI/ML, Professional Services, SAP
Amazon Web Services (AWS), Atlanta, Georgia, United States, 30383
Overview
Delivery Consultant – SAP GenAI/ML, Professional Services, SAP Base pay range $118,200.00/yr - $204,300.00/yr Responsibilities
Designing complex, scalable, and secure AWS solutions to deliver customer business outcomes (CBOs) Providing technical guidance and best practices during pre-sales and implementation phases Collaborating with Account Managers and Customers to ensure proposed solutions are realistic and achievable Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts Basic Qualifications
Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or other related field 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience, or AWS Associate level certification Experience with software development lifecycle, or experience with training and deploying machine learning systems to solve large-scale optimizations 3+ years of experience in SAP Technical or Functional areas Preferred Qualifications
Knowledge of AWS services, such as EC2, EBS, and S3 Experience with compliance & security standards including PCI DSS, ISO 27001, HIPAA, and NIST Experience and technical expertise in cloud computing technologies Experience in communicating technical concepts to a non-technical audience Advanced technology degree or AWS Professional level certifications preferred Experience in proposing solutions, developing estimates and responding to requests for information Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. 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. 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.
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Delivery Consultant – SAP GenAI/ML, Professional Services, SAP Base pay range $118,200.00/yr - $204,300.00/yr Responsibilities
Designing complex, scalable, and secure AWS solutions to deliver customer business outcomes (CBOs) Providing technical guidance and best practices during pre-sales and implementation phases Collaborating with Account Managers and Customers to ensure proposed solutions are realistic and achievable Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts Basic Qualifications
Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or other related field 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience, or AWS Associate level certification Experience with software development lifecycle, or experience with training and deploying machine learning systems to solve large-scale optimizations 3+ years of experience in SAP Technical or Functional areas Preferred Qualifications
Knowledge of AWS services, such as EC2, EBS, and S3 Experience with compliance & security standards including PCI DSS, ISO 27001, HIPAA, and NIST Experience and technical expertise in cloud computing technologies Experience in communicating technical concepts to a non-technical audience Advanced technology degree or AWS Professional level certifications preferred Experience in proposing solutions, developing estimates and responding to requests for information Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. 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. 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.
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