Worldwide Partner Solutions Architect, Data and AI GTM

Amazon • Herndon, VA

23h

About The Position

We are looking for a strong Partner Solution Architect with a Data & AI
background to enable new capabilities for our customers to deploy GenAI
workloads on AWS. You will drive the development of the GTM plan for building
and scaling GenAI on AWS, interacting with customers directly to understand
their business problems, and helping them with defining and implementing
scalable GenAI solutions to solve them (often via proof-of-concepts). Working
with account teams, research scientists, and product teams, you’ll drive model
implementations and create new solutions.

We are part of the Worldwide Specialist Organization at AWS, a team of customer
obsessed architects and technical business leaders. We work backwards from our
customer’s most business-critical problems to build global go-to-market plans
and scale innovations across industries and domains.

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.

Requirements

• 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
• 5+ years of IT development or implementation/consulting in the software or Internet industries experience
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience

Nice To Haves

• Experience working within software development or Internet-related industries
• Experience migrating or transforming legacy customer solutions to the cloud
• Experience working with AWS technologies from a dev/ops perspective
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
• Working experience across the agentic AI, generative AI, and data landscape. This experience would include designing and implementing agentic AI systems, building generative AI architectures, developing machine learning models, and architecting data solutions.
• Expertise in agentic AI frameworks, generative AI, ML/AI services, data analytics, and databases

Responsibilities

• Partner Advisor: Collaborate with regional teams to enable partners and customers in adopting AWS AI and data services.
• Devise Strategy: Partner with regional teams to define and execute engagement strategies for autonomous agent implementations, generative AI adoption, analytics modernization, database migrations, and streaming data architectures across global territories and key partners. Emphasize the increased demand for streaming and messaging expertise driven by the agentic AI backdrop.
• Product Collaboration: Stay closely connected to AWS service teams, working with regional partner teams to launch new capabilities across our technology portfolio, enabling partners to quickly adopt innovations in AI agents, generative AI, ML, analytics, databases, and streaming services.
• Thought Leadership: Provide thought leadership on AI and data solutions, including autonomous agent architectures, generative AI use cases, analytics modernization, database migrations, and streaming data patterns. 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 AI and data technology stack.
• Partner Evangelism: Evangelize partner value propositions internally across global AWS teams and externally with customers, highlighting implementation paths for agentic AI solutions, generative AI applications, data stack modernization, analytics workloads, database migrations, and streaming architectures.
• Partner Enablement: Drive partner solutions and go-to-market strategies across regions. Enable partners to build differentiated offerings for agentic AI implementations, generative AI solutions, data analytics transformation, database modernization, and streaming data services.
• Architectural Guidance: Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex AI and data projects worldwide.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed