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Worldwide Partner Solutions Architect, Data and AI GTM
Amazon
On-sitestaffPosted May 12, 2026
About the Role
Provide technical expertise and strategic guidance to partners on AWS BI, analytics, and AI-powered productivity services, design solutions, and drive partner enablement and go-to-market strategies.
Requirements
Requires strong technical skills in BI architecture, analytics platform design, data visualization, AI-powered productivity tools, and agentic AI systems, with expertise in AWS services like QuickSight, Bedrock, Athena, Redshift, and S3.
Full Job Description
We are looking for a strong Partner Solutions Architect – Data and AI in our Worldwide (WW) Data and AI Partner Go-To-Market (GTM) team, with primary focus on Amazon QuickSuite.
Ideal candidates are those who have practical working experience across business intelligence, analytics, AI-powered workplace productivity, and the broader data landscape. This experience would include designing and implementing enterprise BI solutions, building interactive dashboards and visualizations, developing data models, architecting AI-powered analytics platforms, and implementing agentic AI systems for workplace automation. Candidates should have a strong understanding of fundamental concepts such as data visualization, SPICE in-memory analytics, embedded analytics, natural language query (NLQ), generative AI for business intelligence, AI agents, large language models (LLMs), retrieval-augmented generation (RAG), dashboard design, dataset modeling, row-level security (RLS), self-service analytics, and AI-powered workflow automation. Expertise in BI platforms, data preparation tools, analytics services, AI-powered productivity solutions, and agentic AI frameworks, leveraging AWS services for use cases including executive dashboards, operational reporting, predictive analytics, AI-driven insights, and autonomous workplace agents, is desired.
Knowledge of BI, analytics, and AI platform administration tasks, such as user provisioning, access management, performance optimization, cost management, data governance, model governance, security best practices, and compliance requirements, would also be valuable. Familiarity with AWS technologies like Amazon QuickSuite, Amazon QuickSight, Amazon Bedrock, Agent core, Amazon Athena, AWS Glue, Amazon Redshift, Amazon S3, Amazon SageMaker, and experience integrating BI, analytics, and AI solutions with enterprise data sources, SaaS applications, and business systems, would make candidates well-suited for this role.
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving business intelligence, analytics, AI-powered workplace productivity, and agentic AI systems. You will enjoy learning and introducing new BI, analytics, and AI technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization.
As the right candidate, you will possess technical skills in BI architecture, analytics platform design, data visualization, AI-powered productivity tools, agentic AI systems, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with. The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines, and is able to work effectively across internal and external organizations and remote teams.
Key job responsibilities
Partner Advisor: Collaborate with regional teams to enable partners and customers in adopting AWS business intelligence, analytics, and AI-powered productivity services, with primary emphasis on Amazon QuickSuite capabilities.
Devise Strategy: Partner with regional teams to define and execute engagement strategies for BI modernization, analytics adoption, embedded analytics implementations, AI-powered insights, agentic AI for workplace automation, and self-service analytics across global territories and key partners. Emphasize the growing demand for AI-driven business intelligence, generative AI for analytics, and autonomous workplace agents.
Product Collaboration: Stay closely connected to AWS QuickSuite, analytics, and AI service teams, working with regional partner teams to launch new capabilities across our technology portfolio, enabling partners to quickly adopt innovations in dashboards, AI-powered search, natural language query, automated insights, and agentic AI workflows.
Thought Leadership: Provide thought leadership on BI, analytics, and AI-powered productivity solutions, including dashboard design patterns, embedded analytics architectures, AI-powered analytics use cases, agentic AI implementations, data governance frameworks, and self-service analytics strategies. Create enablement content through AWS Blogs, Whitepapers, reference architectures, and present at AWS events and industry conferences.
Community Engagement: Drive best practices across regions, participate in, and contribute to the worldwide AWS technical community of Solutions Architects and Consultants focused on our BI, analytics, and AI technology stack.
Partner Evangelism: Evangelize partner value propositions internally across global AWS teams and externally with customers, highlighting implementation paths for QuickSuite solutions, embedded analytics, AI-powered dashboards, agentic AI for workplace automation, data visualization modernization, and enterprise BI transformations.
Partner Enablement: Drive partner solutions and go-to-market strategies across regions. Enable partners to build differentiated offerings for QuickSuite implementations, custom BI solutions, embedded analytics platforms, industry-specific dashboards, AI-enhanced analytics applications, and agentic AI workplace solutions.
Architectural Guidance: Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex BI, analytics, AI-powered productivity, and agentic AI projects worldwide.
A day in the life
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving our AI and data technology portfolio. You will enjoy learning and introducing new technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization.
As the right candidate, you will possess technical skills in agentic AI architecture, generative AI applications, machine learning, data analytics services, database services, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with. The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines and can work effectively across internal and external organizations and remote teams.
About the team
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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
Ideal candidates are those who have practical working experience across business intelligence, analytics, AI-powered workplace productivity, and the broader data landscape. This experience would include designing and implementing enterprise BI solutions, building interactive dashboards and visualizations, developing data models, architecting AI-powered analytics platforms, and implementing agentic AI systems for workplace automation. Candidates should have a strong understanding of fundamental concepts such as data visualization, SPICE in-memory analytics, embedded analytics, natural language query (NLQ), generative AI for business intelligence, AI agents, large language models (LLMs), retrieval-augmented generation (RAG), dashboard design, dataset modeling, row-level security (RLS), self-service analytics, and AI-powered workflow automation. Expertise in BI platforms, data preparation tools, analytics services, AI-powered productivity solutions, and agentic AI frameworks, leveraging AWS services for use cases including executive dashboards, operational reporting, predictive analytics, AI-driven insights, and autonomous workplace agents, is desired.
Knowledge of BI, analytics, and AI platform administration tasks, such as user provisioning, access management, performance optimization, cost management, data governance, model governance, security best practices, and compliance requirements, would also be valuable. Familiarity with AWS technologies like Amazon QuickSuite, Amazon QuickSight, Amazon Bedrock, Agent core, Amazon Athena, AWS Glue, Amazon Redshift, Amazon S3, Amazon SageMaker, and experience integrating BI, analytics, and AI solutions with enterprise data sources, SaaS applications, and business systems, would make candidates well-suited for this role.
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving business intelligence, analytics, AI-powered workplace productivity, and agentic AI systems. You will enjoy learning and introducing new BI, analytics, and AI technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization.
As the right candidate, you will possess technical skills in BI architecture, analytics platform design, data visualization, AI-powered productivity tools, agentic AI systems, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with. The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines, and is able to work effectively across internal and external organizations and remote teams.
Key job responsibilities
Partner Advisor: Collaborate with regional teams to enable partners and customers in adopting AWS business intelligence, analytics, and AI-powered productivity services, with primary emphasis on Amazon QuickSuite capabilities.
Devise Strategy: Partner with regional teams to define and execute engagement strategies for BI modernization, analytics adoption, embedded analytics implementations, AI-powered insights, agentic AI for workplace automation, and self-service analytics across global territories and key partners. Emphasize the growing demand for AI-driven business intelligence, generative AI for analytics, and autonomous workplace agents.
Product Collaboration: Stay closely connected to AWS QuickSuite, analytics, and AI service teams, working with regional partner teams to launch new capabilities across our technology portfolio, enabling partners to quickly adopt innovations in dashboards, AI-powered search, natural language query, automated insights, and agentic AI workflows.
Thought Leadership: Provide thought leadership on BI, analytics, and AI-powered productivity solutions, including dashboard design patterns, embedded analytics architectures, AI-powered analytics use cases, agentic AI implementations, data governance frameworks, and self-service analytics strategies. Create enablement content through AWS Blogs, Whitepapers, reference architectures, and present at AWS events and industry conferences.
Community Engagement: Drive best practices across regions, participate in, and contribute to the worldwide AWS technical community of Solutions Architects and Consultants focused on our BI, analytics, and AI technology stack.
Partner Evangelism: Evangelize partner value propositions internally across global AWS teams and externally with customers, highlighting implementation paths for QuickSuite solutions, embedded analytics, AI-powered dashboards, agentic AI for workplace automation, data visualization modernization, and enterprise BI transformations.
Partner Enablement: Drive partner solutions and go-to-market strategies across regions. Enable partners to build differentiated offerings for QuickSuite implementations, custom BI solutions, embedded analytics platforms, industry-specific dashboards, AI-enhanced analytics applications, and agentic AI workplace solutions.
Architectural Guidance: Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex BI, analytics, AI-powered productivity, and agentic AI projects worldwide.
A day in the life
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving our AI and data technology portfolio. You will enjoy learning and introducing new technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization.
As the right candidate, you will possess technical skills in agentic AI architecture, generative AI applications, machine learning, data analytics services, database services, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with. The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines and can work effectively across internal and external organizations and remote teams.
About the team
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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.