Amazon Web Services (AWS)
Senior Delivery Consultant- GenAI/ML, AWS, Industries
Amazon Web Services (AWS), Chicago, Illinois, United States, 60290
Senior Delivery Consultant – GenAI/ML, AWS, Industries
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.
Possessing a deep understanding of AWS products and services, you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As a trusted advisor, you will lead the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key 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.
Basic Qualifications
5+ years of cloud-based solution (AWS or equivalent), system, network and operating system 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.
Experience with 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 with the ability to explain technical concepts to both technical and non-technical audiences.
Master’s or PhD degree 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.
About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneer cloud computing and continuously innovate, enabling customers from startups to Global 500 companies to power their businesses. AWS values diverse experiences and encourages all candidates to apply, regardless of conventional backgrounds.
Equal Opportunity Statement 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, visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Compensation and Benefits Colorado base pay ranges from $153,600/year up to $207,800/year. National base pay ranges from $138,200/year up to $239,000/year, depending on location. Compensation may include equity, sign-on payments, and other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits.
#J-18808-Ljbffr
Possessing a deep understanding of AWS products and services, you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As a trusted advisor, you will lead the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key 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.
Basic Qualifications
5+ years of cloud-based solution (AWS or equivalent), system, network and operating system 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.
Experience with 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 with the ability to explain technical concepts to both technical and non-technical audiences.
Master’s or PhD degree 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.
About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneer cloud computing and continuously innovate, enabling customers from startups to Global 500 companies to power their businesses. AWS values diverse experiences and encourages all candidates to apply, regardless of conventional backgrounds.
Equal Opportunity Statement 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, visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Compensation and Benefits Colorado base pay ranges from $153,600/year up to $207,800/year. National base pay ranges from $138,200/year up to $239,000/year, depending on location. Compensation may include equity, sign-on payments, and other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits.
#J-18808-Ljbffr