Amazon Web Services (AWS)
Senior Delivery Consultant- GenAI/ML, AWS, Industries
Amazon Web Services (AWS), Santa Clara, California, us, 95053
Overview
Senior Delivery Consultant - GenAI/ML, AWS Industries. The AWS Professional Services (ProServe) team seeks a skilled Delivery Consultant to design, implement, and manage AWS solutions that meet technical requirements and business objectives. You will work closely with customers to design GenAI/ML solutions, architect complex, scalable, and secure deployments on AWS, gather requirements, assess current infrastructure, and propose effective migration strategies. As a trusted advisor, you will provide guidance on industry trends, emerging technologies, and best practices throughout the project lifecycle. The AWS Professional Services organization is a global team that helps customers realize their desired business outcomes when using the AWS Cloud. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud initiatives and deliver focused guidance through our global specialty practices.
Responsibilities
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies 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
About the Team and AWS Context
About AWS: AWS values diverse experiences and encourages applicants even if all preferred qualifications are not met. AWS emphasizes inclusion, mentorship, and career growth, aiming to be Earth’s Best Employer. The environment supports flexible work arrangements and a culture of learning.
Basic Qualifications
5+ years of cloud-based solution (AWS or equivalent) experience across systems, networks, and operating systems Bachelor's degree in computer science, engineering, mathematics or equivalent Experience in software development with an object-oriented language 4+ years of experience hosting and deploying GenAI/ML solutions (training, fine tuning, inferences)
Preferred Qualifications
AWS Professional level certification Master's or PhD in computer science or related technical, math, or scientific field Strong working knowledge of deep learning, machine learning, and statistics Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 Hands-on experience with deep learning methods (CNN, RNN, LSTM, Transformer), CV, GNN, or distributed training Strong communication skills with the ability to explain complex mathematical concepts to non-experts Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
Additional
Location: Mountain View, CA Job ID: A3076382
We are an equal opportunity employer and do not discriminate on protected status. If you require accommodations during the application or interview process, please visit the AWS accommodations page for more information.
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Senior Delivery Consultant - GenAI/ML, AWS Industries. The AWS Professional Services (ProServe) team seeks a skilled Delivery Consultant to design, implement, and manage AWS solutions that meet technical requirements and business objectives. You will work closely with customers to design GenAI/ML solutions, architect complex, scalable, and secure deployments on AWS, gather requirements, assess current infrastructure, and propose effective migration strategies. As a trusted advisor, you will provide guidance on industry trends, emerging technologies, and best practices throughout the project lifecycle. The AWS Professional Services organization is a global team that helps customers realize their desired business outcomes when using the AWS Cloud. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud initiatives and deliver focused guidance through our global specialty practices.
Responsibilities
Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies 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
About the Team and AWS Context
About AWS: AWS values diverse experiences and encourages applicants even if all preferred qualifications are not met. AWS emphasizes inclusion, mentorship, and career growth, aiming to be Earth’s Best Employer. The environment supports flexible work arrangements and a culture of learning.
Basic Qualifications
5+ years of cloud-based solution (AWS or equivalent) experience across systems, networks, and operating systems Bachelor's degree in computer science, engineering, mathematics or equivalent Experience in software development with an object-oriented language 4+ years of experience hosting and deploying GenAI/ML solutions (training, fine tuning, inferences)
Preferred Qualifications
AWS Professional level certification Master's or PhD in computer science or related technical, math, or scientific field Strong working knowledge of deep learning, machine learning, and statistics Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 Hands-on experience with deep learning methods (CNN, RNN, LSTM, Transformer), CV, GNN, or distributed training Strong communication skills with the ability to explain complex mathematical concepts to non-experts Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
Additional
Location: Mountain View, CA Job ID: A3076382
We are an equal opportunity employer and do not discriminate on protected status. If you require accommodations during the application or interview process, please visit the AWS accommodations page for more information.
#J-18808-Ljbffr