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Job Details
Posted date: Mar 09, 2026
There have been 2 jobs posted with the title of Principal SA all time at Amazon.Location: Austin, TX
Estimated salary: $215,050
Range: $182,800 - $247,300
Description
AWS is seeking a Principal Solutions Architect for Agentic Transformation to lead the technical architecture and implementation strategy for helping enterprises modernize legacy applications into intelligent, autonomous systems. This role combines deep technical expertise in cloud architecture, application modernization, and AI/ML systems with the ability to influence C-level technical executives on transformation roadmaps that deliver measurable business outcomes. The ideal candidate brings proven experience architecting enterprise-scale solutions, exceptional technical credibility with senior stakeholders, and a track record of thought leadership through published content and industry presentations.This position requires hands-on solution architecture across assessment frameworks, reference architectures, implementation patterns, and technical enablement programs. You will design comprehensive modernization-to-agentic transformation architectures spanning mainframe modernization, containerization, microservices decomposition, data foundation establishment, and autonomous workflow implementation. The role demands someone who can architect solutions for the most complex customer scenarios, translate business requirements into technical designs, create reusable patterns that scale through field teams and partners, and establish AWS as the definitive technical destination for enterprises evolving into intelligent, autonomous organizations.
As a Principal SA, you will take complete ownership of the technical relationship between customers and AWS, working directly with CTOs, CIOs, and Chief Architects to influence how technology drives organizational transformation. You will serve as the primary technical authority during complex sales cycles, establish technical credibility for the AWS platform, and bridge customer needs with AWS service evolution through direct engagement with product teams.
Key job responsibilities
- Architect end-to-end solutions for enterprise agentic transformation encompassing legacy application modernization, data foundation establishment , and autonomous workflow implementation using Amazon Bedrock and AWS AI services
- Design and validate reference architectures, implementation patterns, and technical frameworks for the modernization-to-agentic journey, ensuring solutions leverage AWS's 200+ services while meeting enterprise requirements for security, scalability, and reliability
- Engage directly with C-level technical executives (CTOs, CIOs, Chief Architects) to facilitate technical architecture discussions, conduct architecture reviews, and provide strategic guidance on transformation roadmaps that enable intelligent automation adoption
- Develop technical thought leadership content including white papers, architecture blogs, reference implementations, and technical best practices guides that establish repeatable patterns for agentic transformation at scale
- Create comprehensive technical enablement programs for AWS Solutions Architects covering architecture patterns, implementation methodologies, service selection frameworks, and hands-on workshops that build field team capabilities
- Lead technical discovery and assessment activities with enterprise customers to evaluate existing architectures, identify modernization requirements, map business workflows to autonomous agent opportunities, and develop detailed technical transformation roadmaps
- Collaborate with AWS service teams to translate customer technical requirements into product roadmap input and mentor Solutions Architects across the organization
About the team
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.
Diverse Experiences
Amazon 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.
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.
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 and 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.
Qualifications
- 10+ years of software engineering with a proven track record of leading large-scale projects experience- 8+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience
- 7+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience engaging and influencing C-level executives, both business and technical
- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in computer architecture
- Experience writing high-quality technical content for technical audiences (e.g., engineers, developers, scientists)
- Experience in operational excellence, security compliance, and distributed systems resiliency
Extended Qualifications
- Master's degree in Computer Science, Computer Engineering, or related fields- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Experience presenting to both technical and non-technical executive audiences
- Experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda, or experience with training and deploying machine learning systems to solve large-scale optimizations
- Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
- Experience as a mentor, tech lead or leading an engineering team, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
- Knowledge of DevOps practices and tools including Continuous Integration / Deployment, Puppet, Docker, Kubernetes, Chef etc.
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 - 182,800.00 - 247,300.00 USD annually
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually