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, 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 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, 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 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.
- Bachelor's 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
- Master's 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 Bachelor's 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
