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

About the role

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.

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
• 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

Requirements

• 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

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
• Experience with virtualization (Hypervisors, VMware, Xen)
• Strong analytical skills, attention to detail, and effective communication abilities
• Effective management and troubleshooting network experience