Sr. PSA, AI-Accelerated MigMod, AMER Tech Partner Team (AWS)

Amazon; Seattle (WA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

RSUs included

Job summary

Amazon Web Services, Inc. seeks a Sr. PSA to accelerate migrations and modernization with AI-powered strategies across Windows/.NET, SQL Server, and virtualized workloads.

The role embeds with ISV/SI partners, writing code, building integrations, and guiding GenAI-enabled migration lifecycles while aligning with AWS Transform capabilities and security practices. Strong cloud, AI/ML, and customer-facing skills are essential.

Qualifications

• 3+ years of design, implementation, or consulting in applications and infrastructures experience.
• 6+ years of experience in technology domains (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• Bachelor's degree in a relevant field or equivalent work experience.
• 3+ years of experience implementing cloud services including migrations and modernization projects or similar.

Responsibilities

• Architect, build, and validate AI-powered migration and modernization solutions across .NET, SQL Server, and virtualized workloads using AWS Transform and AWS services.
• Embed hands-on with ISV and SI partners—writing code, building integrations, and unblocking live migrations.
• Design GenAI architectures and pipelines that reduce migration timelines and manual effort.
• Enable partners to integrate AWS Transform APIs into their platforms and guide GenAI usage and guardrails.
• Collaborate with AWS teams to scale partner-led programs and inform product roadmap.
• Publish reference architectures and technical content for the broader SA and partner community.

Skills

Cloud migration

AI/GenAI

Solution architecture

Customer facing

Code writing

Education

Bachelor's degree or equivalent

Tools

AWS Transform

AWS services

GenAI tooling

VMware

Job description

Sr. PSA, AI-Accelerated MigMod, AMER Tech Partner Team

Job ID: 10487323 | Amazon Web Services, Inc.

As a Migration & Modernization Partner Solutions Architect at AWS, you will help shape and deliver a strategy to accelerate customer migrations and modernizations to AWS through our partner ecosystem. Emphasis is on working directly with ISV and SI partners to build AI-powered migration and modernization strategies that help customers move and modernize business-critical workloads — including Windows/.NET, SQL Server, and virtualized/VMware environments — on AWS.

This is a hands-on, partner-facing role with a forward-deployed engineering mindset. You will embed directly with partners and their customer engagements — writing code, building integrations, and troubleshooting alongside partner teams — while integrating AWS Transform capabilities and Generative AI to accelerate the migration lifecycle. As the right candidate, you possess in-depth technical skills across cloud migration, modernization, and AI/ML, plus the partner development and customer-facing skills to represent AWS to customers, partners, developers, and architects. You think strategically about business, product, and technical challenges.

Key job responsibilities

• Architect, build, and validate AI-powered migration and modernization solutions across .NET, SQL Server, and virtualized/VMware workloads using AWS Transform and AWS services (Data & Analytics, GenAI, Observability, Security)
• Embed hands-on with ISV and SI partners (forward-deployed engineering) — writing code, building integrations, and unblocking live migrations, then turning field learnings into repeatable, reusable patterns
• Design GenAI and agentic AI architectures — RAG pipelines, multi-agent orchestration, automated code analysis and refactoring, and dependency mapping — that reduce migration timelines and manual effort
• Enable partners to integrate AWS Transform APIs into their platforms and layer GenAI on top; guide foundation model selection, prompt engineering, and GenAIOps (guardrails, evaluation, responsible AI)
• Collaborate with the AWS Transform service team and cross-functional AWS teams (Partner Core, WWSO GTM, field) to scale partner-led programs and inform the product roadmap
• Publish reference architectures, technical content, and thought leadership; enable the broader SA and partner community

About the team

About AWS

Diverse Experiences

AWS 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.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

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.

Basic Qualifications

• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Bachelor's degree in a relevant field or equivalent work experience
• 3+ years of experience implementing cloud services including migrations and modernization projects or similar

Preferred Qualifications

• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
• Experience in SQL Server/MySQL, or experience in any Bigdata architecture and experience in technical support
• Experience with virtualization (Hypervisors, VMware, Xen), or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in managing and troublshooting network
• AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Cloud Technology Certification

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

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Preferred Qualifications

• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
• Experience in SQL Server/MySQL, or experience in any Bigdata architecture and experience in technical support
• Experience with virtualization (Hypervisors, VMware, Xen), or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in managing and troublshooting network
• AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Cloud Technology Certification

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

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSU). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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