Senior Delivery Consultant - Data Scientist AI/ML, AWS Professional Services

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 youll work closely with customers to design implement and manage AWS solutions that meet their technical requirements and business objectives. Youll 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. Youll 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 responsibilities
As an experienced technology professional you will be responsible for:
and implementing complex scalable and secure AWS solutions tailored to customer needs
technical guidance and troubleshooting support throughout project delivery
with stakeholders to gather requirements and propose effective migration strategies
as a trusted advisor to customers on industry trends and emerging technologies
knowledge within the organization through mentoring training and creating reusable artifacts



A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve.

About the team
AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

- Bachelors degree in Computer Science Engineering related field or equivalent experience
- 5 years of experience in cloud architecture and implementation with direct customer (internal or external) interaction
- 3 years of relevant experience in ML solutions design architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production including batch and real-time data processing.
- Working knowledge of generative AI and hands-on experience in prompt engineering deploying and hosting Large Foundational Models
- Strong communication skills in English and Spanish with the ability to explain technical concepts to both technical and non-technical audiences
- Ability to travel to client locations when needed

- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design development and deployment of business software at scale or recent hands-on technology infrastructure network compute storage and virtualization experience
- AWS experience preferred with proficiency in a wide range of AWS services (e.g. EC2 S3 RDS Lambda IAM VPC CloudFormation SageMaker Bedrock and other ML services)
- AWS Associate level certifications (e.g. Solutions Architect Associate Machine Learning Associate)
- Experience with automation and scripting (e.g. Terraform Python)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

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 including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.