Amazon Web Services (AWS)
Senior Delivery Consultant- GenAI/ML, AWS, Industries
Amazon Web Services (AWS), Denver, Colorado, United States, 80285
Senior Delivery Consultant – GenAI/ML, AWS, Industries
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Senior Delivery Consultant – GenAI/ML, AWS, Industries
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Amazon Web Services (AWS) . Overview
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 their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Responsibilities
Design, implement, and build complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs. Provide technical guidance and implementation support throughout project delivery, focusing on AWS AI/ML services. Collaborate with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies. Act as a trusted advisor to customers on industry trends and emerging technologies. Share knowledge within the organization through mentoring, training, and creating reusable artifacts. About the Team
AWS values diverse experiences and encourages candidates to apply even if they do not meet all preferred qualifications. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, trusted by companies ranging from startups to Global 500. Inclusive culture, mentorship, and work/life balance are emphasized in our environment. Basic Qualifications
5+ years of cloud-based solution (AWS or equivalent), system, network, and operating systems experience. Bachelor’s degree in computer science, engineering, mathematics, or equivalent. Experience in software development with object-oriented language. 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine-tuning, and inferences). Preferred Qualifications
AWS Professional level certification. Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation). Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Strong communication skills to explain technical concepts to both technical and non-technical audiences. Masters or PhD in computer science, or related technical, math, or scientific field. Hands‑on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Equal Opportunity Employer
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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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Join to apply for the
Senior Delivery Consultant – GenAI/ML, AWS, Industries
role at
Amazon Web Services (AWS) . Overview
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 their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Responsibilities
Design, implement, and build complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs. Provide technical guidance and implementation support throughout project delivery, focusing on AWS AI/ML services. Collaborate with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies. Act as a trusted advisor to customers on industry trends and emerging technologies. Share knowledge within the organization through mentoring, training, and creating reusable artifacts. About the Team
AWS values diverse experiences and encourages candidates to apply even if they do not meet all preferred qualifications. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, trusted by companies ranging from startups to Global 500. Inclusive culture, mentorship, and work/life balance are emphasized in our environment. Basic Qualifications
5+ years of cloud-based solution (AWS or equivalent), system, network, and operating systems experience. Bachelor’s degree in computer science, engineering, mathematics, or equivalent. Experience in software development with object-oriented language. 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine-tuning, and inferences). Preferred Qualifications
AWS Professional level certification. Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation). Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Strong communication skills to explain technical concepts to both technical and non-technical audiences. Masters or PhD in computer science, or related technical, math, or scientific field. Hands‑on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Equal Opportunity Employer
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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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