Delivery Consultant - AI/ML, AWS Professional Services
Job Description
Application deadline: Jan 6, 2026The 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, 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 trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key job responsibilitiesAs an experienced Senior Data Scientist, you will be responsible for: Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needsProviding technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML servicesCollaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategiesActing as a trusted advisor to customers on industry trends and emerging technologiesSharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the teamAbout AWS:Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates 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.Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Locations
- United States, NJ, Jersey City, Jersey City, NJ, United States
- United States, WA, Seattle, Seattle, WA, United States
- United States, VA, Arlington, Arlington, VA, United States
- United States, GA, Atlanta, Atlanta, GA, United States
- United States, NY, New York, New York, NY, United States
- United States, CO, Denver, Denver, CO, United States
- United States, VA, Herndon, Herndon, VA, United States
- United States, CA, San Francisco, San Francisco, CA, United States
- United States, TX, Houston, Houston, TX, United States
- United States, TX, Dallas, Dallas, TX, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
140,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experienceintermediate
- - 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)intermediate
Required Qualifications
- - 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience (experience, 5 years)
- - Bachelor's degree in computer science, engineering, mathematics or equivalent (degree in computer science)
- - 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences) (experience, 4 years)
- - 3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) (experience, 3 years)
Preferred Qualifications
- - AWS Professional level certification (certification)
- - Experience scripting for automation (e.g., Python, Perl, Ruby) (experience)
- - Master's degree in computer science, computer engineering, or related field, or PhD (degree in computer science)
- - AWS Experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lamda, IAM, VPC, Cloudformation) (experience)
- - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences (experience)
- - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- As an experienced Senior Data Scientist, you will be responsible for:
- 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
- About AWS:
- Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates 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.
- Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
- Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
- Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Documents
Application Instructions
https://www.amazon.jobs/en/jobs/3112691