GenAI/ML Solutions Architect - Enterprise

Amazon Web Services (AWS); Dallas (TX); On-site; USD 131,000 - 178,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Web Services, Inc. is seeking a GenAI/ML Solutions Architect in the United States to design and implement solutions using Bedrock, SageMaker, Nova models, and the broader AI/ML portfolio.

You will work as an overlay to field sales, guiding customers across industries and building scalable inference pipelines. You will interact with service teams, develop reference implementations, workshops, and blogs, and drive customer-driven product feedback while traveling up to 30% across the United

Qualifications

• 4+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• 2+ years of design, implementation, or consulting in applications and infrastructures.
• Experience with AWS technologies from a dev/ops perspective.

Responsibilities

• Design solutions that leverage AWS AI/ML services including Bedrock, Bedrock AgentCore, SageMaker AI, Nova models, Quick, Kiro, Comprehend, Rekognition, Textract and Transcribe.
• Collaborate with SAs, Sales, BD and AI/ML service teams to accelerate customer adoption and revenue in the Americas.
• Evangelize AWS GenAI/ML services through blogs, whitepapers, reference architectures, sample code, and public events.

Skills

Cloud computing

Software development

Infrastructure

GenAI/ML concepts

Tools

PyTorch

JAX

Amazon Bedrock

Amazon SageMaker AI

Job description

Amazon Web Services, Inc. is seeking a GenAI/ML Solutions Architect in the United States to design and implement solutions using Bedrock, SageMaker, Nova models, and the broader AI/ML portfolio.

You will work as an overlay to field sales, guiding customers across industries and building scalable inference pipelines. You will interact with service teams, develop reference implementations, workshops, and blogs, and drive customer-driven product feedback while traveling up to 30% across the United