Role at a glance
- Job function
-
Software Engineering & IT Solutions Architecture
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's
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Role Summary
This partner-facing Solutions Architect role develops strategies to accelerate customer migrations and modernization to AWS through ISV and SI partners. It focuses on AI-powered approaches for business-critical workloads such as Windows/.NET, SQL Server, and virtualized/VMware environments, combining hands-on partner engineering with AWS Transform and generative AI.
What You'll Do
- Architect, build, and validate AI-powered migration and modernization solutions for .NET, SQL Server, and virtualized/VMware workloads...
- Work hands-on with ISV and SI partners by writing code, building integrations, unblocking migrations, and turning field learnings into...
- Design generative and agentic AI architectures, including RAG pipelines, multi-agent orchestration, code analysis and refactoring, and...
- Help partners integrate AWS Transform APIs and apply foundation model selection, prompt engineering, and GenAIOps practices.
- Collaborate with AWS Transform and cross-functional AWS teams to scale partner-led programs and inform the product roadmap.
- Publish reference architectures and technical content, and enable the broader Solutions Architect and partner community.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
- 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
- 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.
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
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.
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.