Senior Delivery Consultant - AI/ML , ASEAN Professional Services

The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for a senior experienced and motivated business-oriented AI/ML practitioner who possess a unique balance of business knowledge and Technology depth in Machine Learning with deliver implementation experience in the cloud.

AWS ProServe engage in a wide variety of projects for customers and partners providing collective AWS customer 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 role will focus on advising customers looking to enhance their business or operational outcomes through the use of ML on this role you will advise on architecture best practices lead projects manage customers stakeholders and conduct customer workshops and implement complex AI/ML workloads with our customers and partners.



Key job responsibilities
- Advise customers technologists and business leads; help them to explore the art of the possible with machine learning and to develop scalable ML solutions on AWS to deliver business value in the most effective way
- Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI Telco and Retail
- Drive large complex customer engagements across pre-sales and delivery from ideation through architecture design and scoping all the way to closure and into deliver
- Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of machine learning
- Provide technical leadership and excellence on customer engagements to ensure alignment on scope deliverables timeline and customer expected outcomes



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 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.

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.

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 and 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.

- 5 year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design architecture and implementation
- Bachelors degree in Computer Science Engineering related field or equivalent experience
- 5 year of experience in the industry as a ML practitioner
- Ability to think strategically about business solutions and technical challenges.
- A minimum of 3 years working experience in ASEAN region and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

- AWS experience preferred with proficiency in a wide range of AWS services (e.g. SageMaker AmazonQ Amazon Nova EC2 S3 RDS Lambda IAM VPC CloudFormation)
- AWS Professional level certifications (e.g. Solutions Architect Professional DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g. Terraform Python)
- Knowledge of security and compliance standards (e.g. HIPAA GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

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.