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. You will work closely with customers to enable large-scale use cases, design GenAI pipelines, and drive AWS adoption for AI/ML platforms. This role involves collaborating with sales, business development, and service teams to accelerate customer adoption, as well as developing thought leadership content such as white papers, blogs, and reference implementations. You will also act as the voice of the customer, providing feedback to AWS service teams to improve the platform.

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

Responsibilities

• Work with customers’ development and data science teams to understand their business and technical needs, then design solutions leveraging AWS AI/ML services (e.g., SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Personalize).
• Partner with Solutions Architects, Sales, Business Development, and AI/ML service teams to accelerate customer adoption and revenue attainment for AWS GenAI services.
• Develop thought leadership content, including blogs, whitepapers, reference architectures, and presentations, and present at events like AWS Summit and re:Invent.
• Act as a technical liaison between customers and AWS service teams to provide product improvement feedback.
• Support and grow 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, or data & analytics.
• 2+ years of experience in designing, implementing, or consulting on applications and infrastructures.
• Deep technical experience 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.

Preferred Qualifications

• Experience working in 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 cloud adoption worldwide by empowering customers with tailored service, technology, and support. Our customer-first approach has built the world’s most adopted cloud platform. We value diverse experiences and encourage candidates from all backgrounds to apply, even if they don’t meet every preferred qualification.

At Amazon, we’ve invested deeply in AI for over 20 years, with machine learning powering recommendations, robotic fulfillment, supply chain forecasting, Alexa, Prime Air, and more. AWS brings this expertise to customers through three layers of the AI stack: frameworks and infrastructure (e.g., Apache MxNet, TensorFlow), machine learning platforms (e.g., Amazon SageMaker), and API-driven services (e.g., Amazon Bedrock, Amazon Lex, Amazon Kendra).

Why AWS

• Inclusive Culture: AWS values curiosity, connection, and unique perspectives. Employee-led affinity groups and inclusion events foster collaboration and innovation.
• Mentorship & Growth: Access to knowledge-sharing, mentorship, and career-advancing resources to help you develop professionally.
• Work/Life Balance: Flexible working culture designed to support harmony between work and personal life.

Pay

Base salary ranges for this position (USD, annually):

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

Compensation includes sign-on payments, restricted stock units (RSUs), and comprehensive benefits such as health insurance, 401(k) matching, paid time off, and parental leave. Learn more about AWS benefits.