GenAI/ML Solutions Architect - Enterprise AI Strategist

Amazon Web Services (AWS); San Francisco (CA); On-site; USD 151,000 - 204,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

AWS is seeking a Machine Learning Solutions Architect to serve as the SME for helping customers in the AMERICAS design solutions leveraging ML services. You will collaborate with ISV partners to enable large-scale use cases, design ML pipelines, and drive AWS AI/ML adoption.

You will interact with SAs, provide guidance on engagements, and develop white papers, blogs, and reference implementations to enable customers to leverage AI/ML on AWS. Travel up to 50% may be required.

Qualifications

• 2+ years of design, implementation, or consulting in applications and infrastructures experience.
• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• Experience working with AWS technologies from a dev/ops perspective.

Responsibilities

• Design solutions that maximize the AWS cloud platform and AWS AI/ML services usage.
• Partner with SAs, Sales, B.D. and AI/ML service teams to accelerate customer adoption and revenue in the AMERICAS.
• Act as a technical liaison between customers and AWS service teams to provide feedback.
• Develop internal GenAI subject matter expert community in the AMERICAS.

Skills

Systems design

Cloud computing

Tools

Amazon SageMaker

Amazon Bedrock

Rekognition

Bedrock AgentCore

Job description

AWS is seeking a Machine Learning Solutions Architect to serve as the SME for helping customers in the AMERICAS design solutions leveraging ML services. You will collaborate with ISV partners to enable large-scale use cases, design ML pipelines, and drive AWS AI/ML adoption.

You will interact with SAs, provide guidance on engagements, and develop white papers, blogs, and reference implementations to enable customers to leverage AI/ML on AWS. Travel up to 50% may be required.