Worldwide Partner Solutions Architect, Data And AI Gtm (AI)

TL;DR

Worldwide Partner Solutions Architect, Data and AI GTM (AI): Enabling new capabilities for customers to deploy GenAI workloads on AWS with an accent on building and scaling GenAI solutions. Focus on driving model implementations and creating new solutions by working with account teams, research scientists, and product teams.

Location: USA, WA, Seattle; USA, GA, Atlanta; USA, VA, Herndon; USA, CA, San Francisco

Salary: USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually; USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually; USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually; USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually

Company

hirify.global Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

• Collaborate with regional teams to enable partners and customers in adopting AWS AI and data services.
• 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.
• Provide thought leadership on AI and data solutions, including autonomous agent architectures, generative AI use cases, analytics modernization, database migrations, and streaming data patterns.
• Drive partner solutions and go-to-market strategies across regions.
• Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex AI and data projects worldwide.

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 have

• 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.

Culture & Benefits

• AWS values diverse experiences and encourages candidates to apply even if they do not meet all preferred qualifications.
• Employee-led and company-sponsored affinity groups promote inclusion.
• Endless knowledge-sharing, mentorship and other career-advancing resources are available.
• AWS values work-life harmony and strives for flexibility as part of its working culture.
• Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.