GenAI Platform Solution Architect

Solution Architect, GenAI Platform Specialist

AWS Global Sales drives worldwide cloud adoption, empowering customers through tailored service, unmatched technology, and customer support. We dive deep into each customer's unique challenges to craft innovative solutions that accelerate their success with the customer-first approach that built the world's most adopted cloud.

As part of the GenAI Platform team, you'll develop and deploy strategies to accelerate customer adoption across industry verticals. You'll work directly with key customers on GenAI model training and inference, helping them adopt and scale large-scale workloads like foundation models, conduct performance evaluations, and develop demos and GTM plans.

AWS Specialist Solution Architects (SSA) are technologists with deep domain expertise and business development acumen to solve customers' most complex challenges through scalable, flexible technical architectures. As members of Area Specialist and Account Teams, SSAs guide customers through application refactoring and cloud-based system designs while handling account planning and opportunity pursuit, bringing valuable insights to product teams and strengthening the roadmap.

Key job responsibilities

• Drive business development through market sizing, pipeline building, and technical proof-of-concept requirements with customers.
• Develop and execute GTM plans by working directly with customers to understand business problems and implement scalable GenAI solutions.
• Develop cloud-based GenAI solutions enabling customers to build and deploy workloads on EC2, SageMaker Hyperpod, and accelerated compute platforms.
• Create technical architectures, content, and enablement materials to train field teams and establish thought-leadership.
• Collaborate with account teams, research scientists, product teams, ISVs, and model providers to drive implementations and innovation.
• Communicate GenAI potential and technical challenges to engineering teams and C-Level executives, leveraging expertise in GPU based compute infrastructure and ML frameworks.
• Identify cross-industry patterns and trends to accelerate innovation and represent AWS best practices to customers and partners.

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.

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.

Basic Qualifications

• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• 2+ years of design, implementation, or consulting in applications and infrastructures experience.
• 5+ years of IT development or implementation/consulting in the software or Internet industries experience.

Preferred Qualifications

• 3+ years of infrastructure architecture, database architecture and networking experience.
• Experience in technology/software sales, pre-sales, or consulting.
• Knowledge of NVIDIA GPU architectures, CUDA programming, ML/DL frameworks, distributed computing, HPC, and ML training/inference optimization techniques.

Key skills/competency

• GenAI Platform Specialist Solution Architect
• AWS Global Sales
• Cloud Adoption Strategies
• GenAI Model Training and Inference
• Foundation Models
• Scalable Workloads
• Technical Architectures
• Business Development Acumen
• Application Refactoring
• Cloud-Based System Designs