Snr Consultant AI/ML, Tech

5 days ago

Riyadh, Ar Riyāḑ, Saudi Arabia Amazon Full time

Job ID: 2789017 | Amazon Web Services Singapore Private Limited

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.

AWS Asia Pacific & Japan (APJ) Professional Services (ProServe) is seeking for a Senior Consultant, AI/ML for its Technology & Industry team. This role will be focused on helping customers build or migrate their data-driven business workloads on AWS.

From ideation through to build and then to operate, AWS ProServe is committed to helping customers accelerate their time-to-value. AWS ProServe engages in a wide variety of customer projects, providing collective AWS experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.

This Senior Consultant will be based in Singapore but have an APJ wide remit in the Professional Services team. Successful candidates will be experienced and motivated business-oriented AI/ML practitioners. They must possess a unique balance of business knowledge and Technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. Their focus will be on providing pre-sales support with customer executives followed by hands-on-delivery for AI ML workloads.

Successful candidates will have executive level experience in leading, defining, designing and deploying enterprise level strategic solutions leveraging Data, Artificial Intelligence and Machine Learning. Domain expertise should include deep, practical and hands-on understanding of Machine Learning, Data and Business intelligence. The ideal candidate will also have experience with managing data at scale and automation.

Key job responsibilities
  1. Innovate – Engage with the customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.
  2. Deliver value – Lead and support local ProServe delivery teams as a Subject Matter Expert to deliver transformational ProServe AI/ML engagements for AWS customers.
  3. Pre-sales support – Create and deliver presentations to customers that inspire the art of the possible with AI/ML running at scale in the Cloud. Understand customer requirements and collaborate with AWS sales leaders to scope, present, and win new customer engagements.
  4. Domain Leadership – Identify common customer interest in APJ and innovate new technology offerings. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
  5. Expertise Transfer – Upskill AWS ProServe builders in APJ on proven ProServe offerings.
About the team

Diverse Experiences
Amazon 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, 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.

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.

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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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.

BASIC QUALIFICATIONS
  1. 10+ years of consulting experience working with Data and AI/ML solutions.
  2. 10+ years of experience in developing long-term strategies around product/ solution roadmap with execution programs to deliver on envisioned strategy.
  3. Recent and demonstrable hands-on experience with AI/ML workloads.
  4. Ability to create compelling customer proposals and executive-level presentation skills.
  5. Expert level understanding of Cloud Computing, Hybrid, Multicloud environments.
PREFERRED QUALIFICATIONS
  1. Experience with pre-sales a plus.
  2. Industry expertise in FSI or Telco is a plus.
  3. AWS Cloud Certifications.
  4. Experience with AWS services.

Posted: March 5, 2025 (Updated about 3 hours ago)

Posted: January 21, 2025 (Updated about 3 hours ago)

Posted: January 29, 2025 (Updated about 3 hours ago)

Posted: March 18, 2025 (Updated about 14 hours ago)

Posted: March 23, 2025 (Updated about 14 hours ago)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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