GenAI/ML Solutions Architect, Enterprise AI

Amazon; Seattle (WA); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon AWS is seeking a GenAI/ML Solutions Architect in the United States (Seattle). You will act as a SME helping customers design GenAI/ML solutions using Bedrock, SageMaker AI, and Nova models, and you will collaborate with field teams to accelerate adoption across verticals.

You will craft RAG architectures and agentic AI workflows, align with responsible AI practices, and guide production-scale inference pipelines while sharing insights via blogs and workshops.

Qualifications

• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• 2+ years of design, implementation, or consulting in applications and infrastructures experience

Responsibilities

• Working with customers’ development, data science, and AI engineering teams to deeply understand their business and technical needs.
• Design solutions that leverage AWS cloud platform and AWS AI/ML services including Bedrock, Bedrock AgentCore, SageMaker AI, Nova models, Quick, Kiro, Comprehend, Rekognition, Textract, Transcribe.
• Partner with SAs, Sales, Business Development, and AI/ML service teams to accelerate customer adoption and revenue attainment in the Americas for AWS generative AI and ML services.
• Thought Leadership: evangelize AWS GenAI/ML services through blogs, whitepapers, reference architectures, sample code, and public events.
• Act as a technical liaison between customers and AWS AI service teams to provide feedback and feature requests.
• Develop internal GenAI community to enable field teams to position opportunities with customers.

Skills

Software development

Cloud computing

Systems engineering

Infrastructure

Security

Networking

Data & Analytics

Job description

Amazon AWS is seeking a GenAI/ML Solutions Architect in the United States (Seattle). You will act as a SME helping customers design GenAI/ML solutions using Bedrock, SageMaker AI, and Nova models, and you will collaborate with field teams to accelerate adoption across verticals.

You will craft RAG architectures and agentic AI workflows, align with responsible AI practices, and guide production-scale inference pipelines while sharing insights via blogs and workshops.