Amazon Web Services, Inc.
Solutions Architect, Solution Architect, Cloud Computing
WorldwidePartnerSolutionsArchitect,DataandAIGTM
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Worldwide Partner Solutions Architect, Data and AI GTM at Amazon Web Services, Inc.. Skills: Data and AI, GenAI workloads, Partner Solutions Architect. Drive development of GTM plan. Build and scale GenAI on AWS”
Industry & Context.
Business problems; Technical challenges
What They're Looking For.
Must Have
5+ years Python, 5+ years machine learning, 5+ years data analytics, 5+ years database services, 5+ years cloud computing
Nice to Have
Experience with agentic AI systems, Experience building generative AI architectures, Experience developing machine learning models, Experience architecting data solutions, Expertise in agentic AI frameworks, Expertise in generative AI, Expertise in ML/AI services, Expertise in data analytics, Expertise in databases
What You'll Do.
Drive development of GTM plan
Build and scale GenAI on AWS
Interact with customers directly
Define scalable GenAI solutions
Implement scalable GenAI solutions
Develop proof-of-concepts
Drive model implementations
Collaborate with regional teams
Enable partners and customers
Adopt AWS AI services
Adopt AWS data services
Devise engagement strategies
Execute engagement strategies
Emphasize streaming expertise
Emphasize messaging expertise
Stay connected to AWS service teams
Launch new capabilities
Enable partners to adopt innovations
Provide thought leadership
Create enablement content
Present at AWS events
Present at industry conferences
Drive best practices across regions
Participate in technical community
Contribute to technical community
Evangelize partner value propositions
Highlight implementation paths
Drive partner solutions
Drive go-to-market strategies
Enable partners to build offerings
Provide architectural guidance
Leverage AWS services
Win complex AI projects
Deliver complex AI projects
Win complex data projects
Deliver complex data projects
Learn new technologies
Introduce new technologies
Interact with other departments
Communicate with other departments
Partner with other departments
Represent work to management
Think strategically about challenges
How You'll Work.
Team & Collaboration
Account teams; Research scientists; Product teams; Regional teams; AWS service teams; Global AWS teams; Broader SA community; Internal organizations; External organizations; Remote teams
Communication Scope
Executive presentations; Technical documentation
Process & Methodology
Go-to-market plans
Full Job Description
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. Key job 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
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