GenAI Solutions Architect — Global GTM & Data AI

Amazon Web Services, Inc.; Irvine (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Amazon Web Services, Inc. in Irvine, CA is seeking a Generative AI Solutions Architect to help customers design GenAI powered applications using Bedrock and SageMaker. You will collaborate with product teams to influence adoption patterns and enable scalable GenAI deployments across enterprise customers.

You will translate customer needs into architectures, drive field enablement, and contribute reference implementations across AWS GenAI services. Travel up to 30% may be required.

Qualifications

• 8+ years of technology domain experience (e.g., software).

Responsibilities

• Customer Advisor- Implement, and deploy state of the art machine learning solutions under Gen AI. Build prototypes, PoCs, and explore new solutions. Interact closely with customers.
• Thought Leadership - Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, and public-speaking events.
• Partner with Data Scientists, SAs, Sales, and Gen AI Service teams to accelerate customer adoption and provide guidance on engagements.
• Act as a technical liaison between customers and the AWS GenAI services teams to provide customer-driven product improvement feedback.
• Develop and support an AWS internal community of GenAI subject matter experts worldwide and create field enablement materials.

Skills

8+ years technology experience

Excellent communication

Customer engagement

Tools

LangChain

LLAMAIndex

Data Augmentation

Responsible AI

Performance Evaluation

Job description

Amazon Web Services, Inc. in Irvine, CA is seeking a Generative AI Solutions Architect to help customers design GenAI powered applications using Bedrock and SageMaker. You will collaborate with product teams to influence adoption patterns and enable scalable GenAI deployments across enterprise customers.

You will translate customer needs into architectures, drive field enablement, and contribute reference implementations across AWS GenAI services. Travel up to 30% may be required.