Delivery Consultant - AI/ML, ASEAN Professional Services

Amazon is hiring a Delivery Consultant - AI/ML, ASEAN Professional Services for a remote role open to applicants in Singapore. Level rates it ; you can apply on Level.

Level's read on this job

Builds AI ●●●● is how Level rates this AI consultant role: the job is building AI systems.
This is listed as a remote role.
The posting mentions AWS, Generative AI and Machine learning among its tools and skills.
Amazon has 22,000+ other open roles on Level.
This posting went up in the last few days.

AI in this role

Lead enterprise adoption of Generative AI, Agentic AI, and Machine Learning as a Delivery Consultant at AWS Professional Services.

awsgenerative-aimachine-learningagentic-ai

cloud-transformationsolution-architectureconsultingleadership

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
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience dealing effectively with customers during problem resolution and operating efficiently under pressure
- 5+ years of building machine learning models or developing algorithms for business application experience and the 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

- 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 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● 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.

Key facts

Delivery Consultant - AI/ML, ASEAN Professional Services is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in SG, Singapore and is marked remote.
The job was posted on October 20, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud TransformationSolution ArchitectureConsultingLeadershipAWSGenerative AIMachine learningAgentic AI

Also common in AI consultant jobs at this level

Python LLM Fine-tuning RAG AI agents Java

Pay

Typical AI consultant job: $151k

This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs

Questions you could be asked

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?
Tell me about a project where consulting was part of your work. What did you do?
Tell me about a project where leadership was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Cloud Transformation, Solution Architecture, Consulting, Leadership, and AWS. 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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