דרושים Solutions Architect Ags-tech-field-wwtechnologists ב-אמזון ב-United States, Seattle

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

You'll bring a proven track record of structuring and closing enterprise-level partnerships, along with deep experience in solution-based selling. Working closely with cross-functional teams, you'll align partnership strategies with product capabilities, ensuring successful integration and adoption of our APIs.
Key job responsibilities
* Initiate, develop, and oversee relationships with our most-strategic internal partners and our executive sponsors.
* Understand the needs of our Selling Partners and influence or grow our technology partners to address those needs.
* Manage complex relationships and business and technical requirements.
* Work with internal and cross functional teams to create and execute on strategic API business plans, inclusive of innovative demand generation, strategic GTM activities, and co-marketing campaigns,
* Drive results through business reviews to manage progress against a business plan.
* Implement programmatic mechanisms with key internal stakeholders that will allow us to operate at scale.

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

As a part of our team, you will bring deep expertise in Generative AI and quantitative modeling (forecasting, recommender systems, reinforcement learning, causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will contribute to chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. You will be part of a team of fellow scientists and engineers taking on iterative approaches to tackle big, long-term problems.Key job responsibilities- Run regular A/B experiments, gather data, and perform statistical analysis
- Work closely with software engineers to deliver end-to-end solutions into production
- Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

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

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.

This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed.Key job responsibilities
1. Lead the development and execution of comprehensive AAIS portfolio enablement strategy, ensuring alignment with overall GTM objectives and service team priorities
2. Design and implement scalable field training programs, leveraging AI-powered tools and platforms to maximize reach and effectiveness across AWS's global sales organization4. Build and maintain measurement frameworks to evaluate enablement effectiveness, providing data-driven insights to optimize field performance and program impact
5. Coordinate and execute strategic enablement initiatives including roadshows, training events, and certification programs across regions
6. Develop and maintain comprehensive sales enablement content, ensuring consistency across the AAIS portfolio while maximizing use of AI for scale
7. Create and manage feedback loops between field teams, product development, and GTM leadership to continuously improve enablement effectiveness
8. Drive integration with existing AWS field scaling programs while identifying opportunities for AAIS-specific enhancements
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.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

- 10+ years of developing, negotiating and executing business agreements experience
- Bachelor's degree
- Experience influencing internal and external stakeholders
- Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions
- Sales enablement and revenue growth programs

- MBA
- Experience in data analysis and leveraging analytics to make decisions

A T&C Research Scientist will have deep industry knowledge, leverage technology (AI/ML tools), analyze data, experiment, stay current with trends, identify opportunities, aid in product and strategy development, and provide insights for T&C around the science of learning and what is coming. The role requires extending existing scientific techniques and inventing new ones to understand how learners learn and how learning evolves. You will envision new ways to solve customer problems, create innovative experiences, and enable organizations to solve business problems through upskilling their workforce.Key job responsibilities
* Engage in strategic discussions with teams to ensure research generates actionable and on-point findings.
* Apply your expertise in scientific research and analysis to design, experiment, and conduct scalable research projects that address opportunities in learning and credentialing for international audiences.
* Identify opportunities to simplify existing research processes and operate more nimbly.
* Collaborate with cross-functional teams, including engineers, business, product, and others to define requirements, establish success metrics, and deliver high-quality solutions.
* Use advanced statistical methodologies to understand relationships between key metrics and other related measures (e.g., regression, structural equation modeling, latent growth curve modeling, Shapley analysis, etc.).
* Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance T&C operational performances and customer experiences.
* Continuously explore/evaluate emerging methodologies to improve the accuracy and efficiency of research.
* Analyze performance of methods and models, iteratively improving them based on quantitative metrics and feedback.
* Communicate concepts and findings effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on opportunities and their potential impact.
* Contribute to team's strategic planning, goals, priorities, and technical roadmaps.
* Publish research findings in internal reports and external peer-reviewed when aligned with business needsA day in the life
Your work will be resourceful, thinking big, while staying connected details, translate research, data, and advanced analytics into strategic direction, and embrace change and speed. You will be responsible for conducting end-to-end research, as well as leveraging modeling skills to uncover drivers. You dive deep into large amounts of data and translate research into actionable insights/recommendations.

- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Experience conducting research on a global scale

- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
- Experience in machine learning, statistics, and deep learning
- Experience with various machine learning techniques and parameters that affect their performance
- Experience programming, prototyping and scripting with Oracle, SQL, Hive, Pig, SAS, R, Weka, or Python