Delivery Consultant - AI/ML, ASEAN Professional Services

AI in this role

Lead strategic advisory and delivery for enterprise AI and machine learning transformations on AWS.

awsmachine-learninggenerative-ai

ai-strategycloud-transformationsolution-architecture

The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for a senior, experienced, and highly motivated business-oriented AI/ML practitioner who possesses a unique balance of executive advisory capability, business acumen, and deep technical expertise across Generative AI, Agentic AI, and Machine Learning, with proven experience leading large-scale cloud-based transformations and implementations.

AWS ProServe engages in a wide variety of strategic projects for customers and partners, bringing together AWS customer experience, best practices, and technical expertise to help organizations accelerate innovation and business outcomes. Our team collaborates across the broader AWS organization to provide customers access to product, engineering, service, and training teams, delivering scalable solutions and driving feature innovation across industries.

This role will focus on advising enterprise customers on how to transform business and operational outcomes through the adoption of Generative AI, Agentic AI, and Machine Learning on AWS. As a Consultant, you will act as a trusted advisor to senior business and technology leaders, shape AI and cloud transformation strategies, lead complex engagements, guide architecture best practices, and oversee the successful delivery of large-scale AI/ML and GenAI implementations with customers and partners. You will also help drive thought leadership, mentor delivery teams, and influence the evolution of AWS AI/ML professional services capabilities across the region.

Key job responsibilities
- Advise customer technologists and business leaders on the art of the possible with Generative AI, Agentic AI, and Machine Learning, helping them design scalable AI solutions on AWS that deliver measurable business value
- Discuss complex industry-specific business and technology concepts with senior customer stakeholders, particularly across FSI, Telecommunications, and Retail industries
- Lead executive and technical workshops with customers to identify transformation opportunities and define how Generative AI, Agentic AI, and Machine Learning can accelerate business outcomes
- Drive large and complex customer engagements across pre-sales and delivery, from ideation and strategy through architecture design, scoping, execution, and successful delivery outcomes
- Provide technical leadership and delivery oversight across customer engagements to ensure alignment on scope, architecture, deliverables, timelines, risks, and expected business outcomes
- Act as a trusted advisor to senior customer stakeholders, guiding AI and cloud transformation initiatives while balancing business priorities, governance, scalability, and operational readiness
- Mentor consultants and delivery teams by promoting AWS best practices, reusable patterns, and high standards of technical and delivery excellence across engagements

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
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
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

- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience implementing AWS services in a variety of distributed computing environments

Preferred qualifications

- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience

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.

How we rate this

Delivery Consultant - AI/ML, ASEAN Professional Services at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI StrategyCloud TransformationSolution ArchitectureAWSMachine LearningGenerative AI

Questions you could be asked

Tell me about a project where ai strategy was part of your work. What did you do?
Tell me about a project where cloud transformation was part of your work. What did you do?
Tell me about a project where solution architecture was part of your work. What did you do?
What's a project where you used AWS hands-on?
Walk me through how you've used Machine Learning in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Strategy, Cloud Transformation, Solution Architecture, AWS, and Machine Learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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