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

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 & Analytic s, 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:

• 6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures 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 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

• USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually
• USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
• USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
• USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually
• USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually