Solutions Architect Manager, AI & Growth - ASEAN, ASEAN APO PSA Team

Amazon is hiring a Solutions Architect Manager, AI & Growth - ASEAN, ASEAN APO PSA Team in Ho Chi Minh City, Vietnam. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Bedrock and SageMaker.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

bedrocksagemaker

Are you passionate about helping AI-driven consulting partners to scale across ASEAN using the cloud and AI services? We are looking for an experienced and technically strong people manager to lead our Partner Solutions Architect (PSA) teams within the ASEAN Partner Organization.
This role owns the technical strategy, team development, and partner engagement for:
• AI Partner PSAs: A team of Partner Solutions Architects who support AI/ML Consulting Partners to co-build solutions on AWS, co-sell through AWS Marketplace, and scale globally across AWS Regions. These partners are building next-generation AI applications leveraging Amazon Bedrock, SageMaker, and other AWS AI/ML services.
• Growth Partner PSAs: A team of Partner Solutions Architects supporting AWS Growth Partners, driving technical enablement, solution design, and scale motions through the channel partners to accelerate Cloud and AI adoption across ASEAN markets.
This is a highly visible, dual-charter leadership role that requires to cover ASEAN countries (Singapore, Indonesia, Thailand, Vietnam, Malaysia, Philippines) to engage directly with partners, lead executive briefings, and represent AWS at area and country events.

Key job responsibilities
Technical Strategy, Migration & Modernization & AI Enablement
• Set the technical vision, Migration & Modernization and AI acceleration strategy across teams, identifying common enablement needs and opportunities for shared tooling, mechanisms, agentic tools and AI/ML reference architectures.
• Stay current on AWS AI/ML services (Amazon Bedrock, SageMaker, Quick, Kiro etc.) and industry trends to inform partner technical guidance and co-build motions.
• Build mechanisms to measure and improve partner technical outcomes including Migration & Modernization, AI competency and Managed Services certifications, validated AI solution designs, Marketplace listings, and customer wins.
• Drive partner enablement programs for both AI Partners and Growth Partners, ensuring partners can effectively leverage generative AI, agentic tools, foundation models, and ML services in their solutions.
• Establish technical bar-raising mechanisms to ensure partners deliver production-quality AI/ML solutions to end customers.
Stakeholder & Partner Engagement
• Serve as a senior technical voice to AI Partner and Growth Partner executives, building trusted advisor relationships at the CTO/VP Engineering level.
• Represent partner technical needs internally, influencing AWS AI service teams, partner programs, and product roadmaps to better serve the ASEAN partner ecosystem.
• Partner cross-functionally with Partner Development Managers (PDMs), Sales, Marketing, Training, and Professional Services to drive holistic partner success across the AI and distribution segments.
• Present at partner events, executive briefings, AWS Summits, and industry forums across ASEAN to elevate AWS partner technical thought leadership in AI.
• Cultivate relationships with AI Partner founders and Growth Partner technical leadership to drive co-innovation and joint go-to-market motions.
People Management and Operational Excellence
• Define and track team goals and performance metrics aligned to ASEAN Partner organizational priorities and business outcomes.
• Recruit, hire, and retain top technical talent across ASEAN; build a diverse, inclusive, and high-performing team culture that spans multiple countries and cultures.
• Establish scalable operating rhythms, reporting mechanisms, and continuous improvement practices across both team charters.
• Manage resource allocation, capacity planning, and prioritization across AI Partner and Growth Partner engagement models.

About the team
The Partner Solutions Architecture (PSA) organization is the technical backbone of the AWS Partner community. PSAs work hands-on with AWS Partners to raise their technical bar, help them build differentiated solutions, and ensure customers receive world-class outcomes through the partner channel.

The ASEAN Cloud and AI Acceleration team is at the forefront of driving AI adoption across Southeast Asia’s diverse and rapidly growing markets. This role offers a unique leadership opportunity: you will shape how AWS engages technically with both the fast-moving Partner segment (startups and ISVs building AI-first solutions) and the high-scale Growth Partner channel (distributors enabling downstream resellers).

By leading across these two domains, you will develop cross-pollination strategies, identify common AI enablement patterns, and build mechanisms that amplify partner impact at scale. You will work closely with Partner Development Managers, AWS service teams, and regional leadership to ensure ASEAN partners are equipped to deliver AI solutions to customers.

Basic qualifications

- 10+ years of enterprise IT application work that includes at least 2 years of hands-on software development or DevOps engineering experience
- 2+ years of architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. experience
- 8+ years of technology solutions development and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing experience
- Bachelor's degree
- Experience leading and growing teams of senior technology professionals, ideally in customer facing roles

Preferred qualifications

- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Knowledge of cloud technology partner ecosystem and related products
- Experience in a technical role within a sales organization

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

Solutions Architect Manager, AI & Growth - ASEAN, ASEAN APO PSA Team at Amazon rates 70 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Architect Manager, AI & Growth - ASEAN, ASEAN APO PSA Team is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in VN, Ho Chi Minh City.
The job was posted on October 28, 2026.
Seniority: mid.
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

BedrockSageMaker

Also common in solutions architect jobs at this level

Python LLM Machine learning SQL Kubernetes RAG

Pay

Typical solutions architect job: $168k

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

Questions you could be asked

What's a project where you used Bedrock hands-on?
Walk me through how you've used SageMaker in your day-to-day work.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Bedrock and SageMaker. 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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