Principal Data and Agentic Architect , Professional Services

AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
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:
1. Designing and implementing complex scalable and secure AWS solutions tailored to
customer needs
2. Providing technical guidance and troubleshooting support throughout project
delivery
3. Collaborating with stakeholders to gather requirements and propose effective
migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging
technologies
5. Sharing knowledge within the organization through mentoring training and creating
reusable artifacts

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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
Here at AWS its 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 conferences inspire us to never stop embracing our uniqueness.

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 in the cloud.

- Bachelors degree in Computer Science Physics Engineering or Math
- 5 years of practical work applying ML to solve complex problems for large-scale applications experience
- 8 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
- Knowledge of at least one programming language such as Java C# JavaScript Python Ruby or Perl
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- 7 years of IT platform implementation in a technical and analytical role experience

- Masters degree or equivalent in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or experience with AWS Solutions including EC2 S3 Redshift EMR (or Hadoop)
- Experience using managed ML/AI solutions
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience with vLLM SGLang TensorRT or similar platforms in production environments
- AWS Professional level certification or Bachelors degree in business administration finance economics computer science data science engineering or other related field
- 4 years of professional work experience or experience with AWS services or other cloud offerings
- Generative AI trends patterns anti-patterns

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.