Senior GenAI & ML Solutions Architect: Cloud AI Leader

Amazon Web Services (AWS); Denver (CO); On-site; USD 154,000 - 208,000; Full time

Benefits offered by this job

Travel up to 50%

Competitive compensation with RSUs

Job summary

Amazon Web Services, Inc. in Denver, CO is seeking a Machine Learning Solutions Architect to drive design of scalable ML solutions for customers using SageMaker, Bedrock, Rekognition, and other AWS AI/ML services.

You will work with customer development and data science teams to understand needs and craft optimum ML pipelines. As a SME, you’ll collaborate with SAs, Sales and service teams to accelerate adoption, create reference architectures, and publish white papers.

Qualifications

• 8+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• 3+ years in design, implementation, or consulting in applications and infrastructures.
• Experience in a technical role within a sales organization.

Responsibilities

• Design solutions leveraging AWS cloud and AI/ML services (SageMaker, Bedrock, Rekognition, Transcribe, etc.).
• Partner with SAs, Sales and AI/ML teams to drive customer adoption and revenue in AMERICAS.
• Evangelize AWS ML services via blogs, whitepapers, reference architectures and events.
• Act as a liaison between customers and AWS service teams to gather feedback and influence product improvements.

Skills

Cloud computing

Software development

Data analytics

Stakeholder communication

Networking

Security

Tools

SageMaker

Bedrock

Rekognition

TensorFlow

Job description

Amazon Web Services, Inc. in Denver, CO is seeking a Machine Learning Solutions Architect to drive design of scalable ML solutions for customers using SageMaker, Bedrock, Rekognition, and other AWS AI/ML services.

You will work with customer development and data science teams to understand needs and craft optimum ML pipelines. As a SME, you’ll collaborate with SAs, Sales and service teams to accelerate adoption, create reference architectures, and publish white papers.