Principal Gtm Specialist Solutions Architect, Genai, Aws

DESCRIPTION

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, AI/ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) AI/ML team as a GTM Specialist Solutions Architect

The Worldwide Specialist Organization (WWSO) works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Key job responsibilities
- Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
- Provide advanced technical knowledge to your aligned GTM teams to unblock our customers’ largest and most critical business challenges.
- Along with your extended team, own the technical bar for specialist technical artifacts and standards.
- Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.

A day in the life
Diverse Experiences

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.

About the team
This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

BASIC QUALIFICATIONS
- 7+ years management of technical, customer facing resources
- 7+ years of design/implementation of production AI/ML systems and MLOps pipelines with hands-on experience with state-of-the-art data and ML frameworks (PyTorch, HuggingFace, Spark, Langchain), technical familiarity with LLMs/FMs, RAG, and prompt engineering techniques.

PREFERRED QUALIFICATIONS
- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Familiarity with common enterprise services.
- Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers.
- Strong written communication skills.
- Working knowledge of software development tools and methodologies.
- Experience working within software development or Internet-related industries.
- AWS Solution Architecture certification or relevant cloud expertise.
- Computer Science /relevant degree and/or experience highly desired.