Amazon Web Services (AWS)
Sr. Delivery Consultant - AI/ML, AWS Professional Services
Amazon Web Services (AWS), Denver, Colorado, United States, 80285
Delivery Consultant - AI/ML, AWS Professional Services
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Delivery Consultant - AI/ML, AWS Professional Services
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Amazon Web Services (AWS) . The application deadline is Jan 6, 2026. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to design, implement, and manage AWS solutions that meet customers’ technical requirements and business objectives.
Key job responsibilities
Design, implement, and build complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs.
Provide technical guidance and implementation support throughout project delivery with a focus on using 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.
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.
4+ years of experience hosting and deploying GenAI/ML solutions (e.g., training, fine‑tuning, and inferences).
3+ years of coding, data querying languages (SQL), scripting languages (Python).
Preferred Qualifications
AWS Professional level certification.
Experience scripting for automation (Python, Perl, Ruby).
Master's or PhD in computer science, engineering, or related field.
Proficiency in a wide range of AWS services (EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
Strong communication skills to explain technical concepts to technical and non‑technical audiences.
Hands‑on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
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.
For more about compensation and benefits: https://www.aboutamazon.com/workplace/employee-benefits.
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Delivery Consultant - AI/ML, AWS Professional Services
role at
Amazon Web Services (AWS) . The application deadline is Jan 6, 2026. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to design, implement, and manage AWS solutions that meet customers’ technical requirements and business objectives.
Key job responsibilities
Design, implement, and build complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs.
Provide technical guidance and implementation support throughout project delivery with a focus on using 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.
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.
4+ years of experience hosting and deploying GenAI/ML solutions (e.g., training, fine‑tuning, and inferences).
3+ years of coding, data querying languages (SQL), scripting languages (Python).
Preferred Qualifications
AWS Professional level certification.
Experience scripting for automation (Python, Perl, Ruby).
Master's or PhD in computer science, engineering, or related field.
Proficiency in a wide range of AWS services (EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
Strong communication skills to explain technical concepts to technical and non‑technical audiences.
Hands‑on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
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.
For more about compensation and benefits: https://www.aboutamazon.com/workplace/employee-benefits.
#J-18808-Ljbffr