GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects

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. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success.

About the role

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. As part of the team, you will work closely with ISVs (Independent Software Vendors) to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for AI/ML platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage AI/ML on AWS.

Additionally, as the voice of the customer, you will work closely with the service teams and submit product feature requests to drive the platform forward. You must have deep technical experience working with technologies related to Generative AI, machine learning, and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models. You will be familiar with the ecosystem of software vendors in the GenAI space and leverage this knowledge to help AWS customers in their selection process.

If you are a qualified and accepted candidate, you may work out of any of the following cities: San Jose, Los Angeles, Denver, Chicago, Austin, Dallas, Atlanta, or Arlington. Travel up to 50% across the USA may be possible.

Responsibilities

• Work with customers’ development and data science teams to deeply understand their business and technical needs. After understanding their needs, design 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 QuickSight, Amazon Personalize, and other AI/ML services.
• Partner 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.
• Provide thought leadership by evangelizing AWS ML services and sharing best practices through forums such as AWS blogs, whitepapers, reference architectures, and public-speaking events like AWS Summit and AWS re:Invent.
• Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer-driven product improvement feedback.
• Develop and support an AWS internal community of GenAI-related subject matter experts in the AMERICAS.

Requirements

• 2+ years of design, implementation, or consulting in applications and infrastructures experience.
• 4+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience.
• Deep technical experience working with Generative AI, machine learning, and/or deep learning technologies.
• Strong mathematics and statistics background, with experience building complex machine learning models.
• Familiarity with the ecosystem of software vendors in the GenAI space.

Preferred Qualifications

• Experience working within software development or Internet-related industries.
• Experience migrating or transforming legacy customer solutions to the cloud.
• Experience working with AWS technologies from a dev/ops perspective.

Benefits

Amazon offers comprehensive benefits including:

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

Pay

• USA, CA, San Francisco: $151,000.00 - $204,300.00 USD annually
• USA, GA, Atlanta: $131,300.00 - $177,600.00 USD annually
• USA, NY, New York: $144,500.00 - $195,400.00 USD annually
• USA, TX, Austin: $131,300.00 - $177,600.00 USD annually

About The Team

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.

At AWS, we’ve been investing deeply in artificial intelligence for over 20 years. Many capabilities customers experience in our products are driven by machine learning, including Amazon.com’s recommendations engine, robotic picking routes in fulfillment centers, supply chain forecasting, Alexa’s Natural Language Understanding, and more. We have thousands of engineers committed to machine learning and deep learning, making it a core part of our heritage.