Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects
About the role
AWS is looking for a Machine Learning Solutions Architect (ML SA) to serve as the Subject Matter Expert (SME) for helping customers in the AMERICAS design solutions that leverage AWS ML services. You will work closely with customers in one or more industry verticals (Financial Services, Media and Entertainment, Manufacturing, Technology, Health Care and Life Sciences, Retail, etc.) to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for the 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.
Key job responsibilities
- Working 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 Quick, 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
- Thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
- 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
Basic Qualifications
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- Experience in a technical role within a sales organization
Preferred Qualifications
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working with end user or developer communities
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience architecting/operating solutions built on AWS
Benefits
- 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
- Parental leave
- Sign-on payments and restricted stock units (RSUs)
Pay
- USA, CA, San Francisco – $176,600.00 – $239,000.00 USD annually
- USA, CO, Denver – $153,600.00 – $207,800.00 USD annually
- USA, GA, Atlanta – $153,600.00 – $207,800.00 USD annually
- USA, NY, New York – $169,000.00 – $228,600.00 USD annually
Final compensation will be determined based on factors including experience, qualifications, and location.
Schedule
Travel up to 50% across the USA may be possible.
This response is AI-generated, for reference only.