AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail

About the role

AWS is looking for a Generative AI/Machine Learning (genAI/ML) Solutions Architect to serve as the Subject Matter Expert for helping customers design solutions leveraging AWS GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. In this role, you will work closely with customers to enable large-scale use cases, design GenAI pipelines, and drive adoption of AWS AI/ML platforms. You will collaborate with other Solutions Architects, Sales, Business Development, and AI/ML service teams to accelerate customer adoption and revenue attainment. Additionally, you will act as the voice of the customer, providing feedback to service teams and submitting product feature requests to enhance the platform.

Travel up to 30% across the United States may be required.

Responsibilities

• Work with customers’ development and data science teams to deeply understand their business and technical needs, then design solutions leveraging AWS AI/ML services such as SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Personalize, and other AI/ML tools.
• Partner with Solutions Architects, Sales, Business Development, and AI/ML service teams to accelerate customer adoption and revenue growth for AWS GenAI services in the Americas.
• Provide thought leadership by evangelizing AWS ML services and sharing best practices through blogs, whitepapers, reference architectures, and public-speaking events (e.g., AWS Summit, AWS re:Invent).
• Act as a technical liaison between customers and AWS service teams (e.g., SageMaker) to provide customer-driven product improvement feedback.
• Develop and support an internal AWS community of GenAI subject matter experts in the Americas.

Requirements

• 4+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data, or analytics.
• 2+ years of experience in designing, implementing, or consulting on applications and infrastructures.
• Deep technical experience working with artificial intelligence, machine learning, and/or deep learning technologies.
• Strong background in mathematics and statistics, with experience building machine learning models.
• Familiarity with the ecosystem of software vendors in the GenAI space to assist customers in their selection process.

Preferred Qualifications

• Experience working within software development or Internet-related industries.
• Experience migrating or transforming legacy customer solutions to the cloud.
• Hands-on experience with AWS technologies from a DevOps perspective.

About the team

AWS Global Sales drives adoption of the AWS cloud worldwide, empowering customers of all sizes to innovate and expand. Our team provides tailored service, unmatched technology, and committed support to help customers overcome challenges and accelerate success. We foster a diverse and inclusive culture where unique experiences are valued, and innovation thrives through collaboration and curiosity.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with optional supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, and Medical Advice Line.
• Flexible Spending Accounts (FSA) for healthcare and dependent care.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

Pay

Base salary ranges by location (annual):

• Arizona (Tempe): $131,300 – $177,600 USD
• California (San Francisco): $151,000 – $204,300 USD
• Georgia (Atlanta): $131,300 – $177,600 USD
• Illinois (Chicago): $131,300 – $177,600 USD
• Massachusetts (Boston): $131,300 – $177,600 USD
• Minnesota (Minneapolis): $131,300 – $177,600 USD
• New York (New York): $144,500 – $195,400 USD
• Tennessee (Nashville): $124,700 – $168,800 USD
• Texas (Dallas): $131,300 – $177,600 USD
• Virginia (Arlington): $131,300 – $177,600 USD

Final compensation will be determined based on experience, qualifications, and location.