Amazon Web Services (AWS)
Delivery Consultant - AI/ML, WWPS ProServe
Amazon Web Services (AWS), Bellevue, Washington, us, 98009
Delivery Consultant - AI/ML, WWPS ProServe
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.
As a Delivery Consultant 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 provide guidance on industry trends, emerging technologies, and innovative solutions, leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key 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 on industry trends and emerging technologies
Mentor and share knowledge within the organization through training and creating reusable artifacts
About The Team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications, we encourage you to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent
3+ years of experience in software development and cloud-based solutions (AWS or equivalent)
Experience in software development with object-oriented language
3+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine-tuning, and inference)
Preferred Qualifications
AWS Professional level certification
Experience with a wide range of AWS services (EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
Experience with automation and scripting (Terraform, Python)
Strong communication skills to explain technical concepts to both technical and non-technical audiences
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 an accommodation, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Compensation ranges from $118,200 to $204,300 per year, varying by location and experience. Additional compensation may include equity, sign-on payments, and benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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As a Delivery Consultant 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 provide guidance on industry trends, emerging technologies, and innovative solutions, leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key 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 on industry trends and emerging technologies
Mentor and share knowledge within the organization through training and creating reusable artifacts
About The Team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications, we encourage you to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent
3+ years of experience in software development and cloud-based solutions (AWS or equivalent)
Experience in software development with object-oriented language
3+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine-tuning, and inference)
Preferred Qualifications
AWS Professional level certification
Experience with a wide range of AWS services (EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
Experience with automation and scripting (Terraform, Python)
Strong communication skills to explain technical concepts to both technical and non-technical audiences
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 an accommodation, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Compensation ranges from $118,200 to $204,300 per year, varying by location and experience. Additional compensation may include equity, sign-on payments, and benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr