[Hiring] GenAI/ML Specialist Solutions Architect @Amazon

Role Description

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and comprehensive support.

Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS)? Come join us!

AWS is looking for a Machine Learning Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping customers in the AMERICAS design solutions that leverage our ML services. Key job responsibilities include:

• Working with customers’ development and data science teams to deeply understand their business and technical needs.
• Designing solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Bedrock, Amazon AgentCore, Amazon Rekognition, Amazon Transcribe, Amazon Quick, Amazon Personalize, and other AI/ML services.
• Partnering with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases.
• Evangelizing AWS ML services and sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
• Acting as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback.
• Developing and supporting an AWS internal community of GenAI related subject matter experts in the AMERICAS.

Qualifications

• 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.

Requirements

• Deep technical experience working with technologies related to Generative AI, machine learning and/or deep learning.
• Strong mathematics and statistics background preferred.
• Experience building complex machine learning models.
• Familiarity with the ecosystem of software vendors in the GenAI space.

Benefits

• Comprehensive 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 and parental leave.