Senior Delivery Consultant - AI / ML, ASEAN Professional Services

Senior Delivery Consultant - AI / ML, ASEAN Professional Services Job ID : | Amazon Web Services Philippines Inc.

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 AWS. In 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 customer’s 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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Basic Qualifications

5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation

Bachelor's 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.

Preferred Qualifications

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 you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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