Principal Solutions Architect Content Applications jobs at Amazon in United States, Seattle

Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes.Roles & Responsibilities:
· Gain understanding of the application test procedures and how to use applicable software and tools.
· Execute test instructions and report test results accurately and promptly.
· Report any deviations observed
· Understand any changes in test instructions related to their assigned work
· Follow defined processes to perform assigned work

- Bachelor's degree
- Knowledge of QA methodology and tools

- Experience with testing consumer devices

Key job responsibilities
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders

- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

• Experience using Unix/Linux
• Experience in professional software development

In this role, you'll design scalable cloud-based solutions that integrate AWS services with industry-leading content management and creative automation tools. You'll implement comprehensive monitoring solutions, automated deployment pipelines, and resilient data infrastructure to build a stable foundation for workflows that streamline content creation, discovery, and distribution using both AI and traditional automation methods.You'll be responsible for transforming business requirements into technical solutions that enhance how the organization manages and shares creative content. This position combines cloud infrastructure expertise with content system integration to deliver measurable improvements to our content services. Success in this role requires strong technical depth, excellent problem-solving abilities, and the capability to work backwards from customer needs to technical solutions. The ideal candidate will demonstrate both technical excellence and leadership in driving complex projects from conception to delivery.Key job responsibilities
Design and implement highly available infrastructure using AWS services to support content management and AI automation workflowsBuild and maintain CI/CD pipelines and Infrastructure as Code processes to ensure consistent, reliable system deployments
Implement data-driven improvements to optimize system performance and reliability of content services

- Bachelor's degree in computer science or equivalent
- 5+ years of non-internship professional software development experience
- Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C++
- 4+ years of highly scalable systems experience
- Experience with CI/CD pipelines build processes
- Experience building complex software systems that have been successfully delivered to customers
- Experience deploying and maintaining AWS Cloud infrastructure

Our AI acceleration Partner Solutions Architects focus on automating large scale workflows with AI and accelerating partner AI readiness and transformation. In this role, you'll build AI tools/agents and solutions that drive both internal AWS productivity and external partner success. This position directly supports AWS' strategic vision to lead AI/GenAI development alongside our customers and partners. The role offers visibility across APO organization and the opportunity to shape the future of partner AI transformation.Key job responsibilitiesDiverse ExperiencesAWS 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.Mentorship & Career GrowthWe’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

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

At the forefront of new deal evaluation, you will work across business and internal/external partner teams to identify and define technical metadata requirements, across software development teams to align on high-level, end-to-end engineering solutions, and across operational teams to ensure that solutions are scalable and durable for launch.Key job responsibilities
As a Sr. Solutions Architect, you will be responsible for building and leading durable programs to scale Live Events including:• Collaborate with business, product, operations, and engineering teams to develop and execute the roadmap for live events.
• Assess partner requirements and technical capabilities to inform business and operational decisions.
• Provide technical expertise to inform integration solutions for complex problems with partners and internal stakeholders.
• Collaborate with internal teams (e.g., launch managers, product managers, marketing) to define how live and on-demand content will be presented to customers on Prime Video.
• Work closely with sports media partners, metadata aggregators, and internal teams to deliver results and continuously improve processes for publishing sports content.
• Plan for future investments needed to support industry standards.
• Establish goals, plans, and related metrics, manage initiatives, and track progress to achieve efficiency and quality improvements.A day in the life
You will define and execute programs to bring new sports leagues to Prime Video, launch and support live events, and drive/manage technical and operational efficiency efforts.

- 8+ 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
- Demonstrated expertise in designing and implementing large-scale systems with high availability and performance requirements; experience with writing functional requirements to create new solutions or refine processes

- 5+ years of infrastructure architecture, database architecture and networking experience
- 5+ years of specific experience in media and entertainment technology, including broadcast systems, streaming platforms, or content management solutions; demonstrated ability to work cross-functionally with engineering, product, business, and operations to deliver online products

We're looking for an FEE who is self-driven, scrappy, autonomous (can unblock themselves), demonstrated curiosity and AI experimentation, and are excited about spending most of their time writing code.We're prioritizing experience with:
- 5+ years building production web applications using a TypeScript-based framework (React preferred)
- Expertise in modern frontend architecture patterns, state management, and component-based design
- Experience with design system implementation and component libraries (Cloudscape experience highly preferred)
- Understanding of real-time data flows, streaming APIs, and dynamic content rendering
- Experience with performance optimization for high-frequency UI updates and complex state changes
- Knowledge of accessibility standards and internationalization best practices
- AWS service launch / production operational experience desired.Key job responsibilities
You will be expected to influence technical design and product direction, but spend most of your time writing codeAbout the team
Why AWSDiverse 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 BalanceInclusive Team CultureMentorship 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.

- 5+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience
- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)

- Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST
- Experience in a broad range of software design approaches and common UX patterns.

Key job responsibilities
* Drive the science roadmap across multiple teams, helping coordinate a cohesive science agenda across the org.* Mentoring applied scientists across the org, growing their skills and careers.About our organization:

- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives

- Experience creating novel algorithms and advancing the state of the art