GenAI Solutions Architect - AWS ML & Bedrock Expert

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Flexible Spending Accounts

Job summary

Amazon Web Services, Inc. is seeking a genAI/ML Solutions Architect to help US customers design solutions using GenAI services such as Bedrock and SageMaker.

You will collaborate with field SAs to enable large-scale use cases and develop white papers, reference implementations, and presentations to accelerate AWS GenAI adoption. You will bring deep AI/ML expertise, help customers select tools, and influence product teams with customer feedback.

Qualifications

• 4+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security or data & analytics.
• 2+ years of design, implementation, or consulting in applications and infrastructures.

Responsibilities

• Work with customers’ development and data science teams to design solutions using AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition, Transcribe, Lex, Personalize).
• Partner with SAs, Sales, Business Development and AI/ML Service teams to accelerate customer adoption in the AMERICAS for SageMaker and related services.
• Evangelize AWS ML services through blogs, whitepapers, reference architectures and events like AWS Summit and re:Invent.
• Act as technical liaison to provide feedback to SageMaker and service teams.
• Develop and support an internal AWS GenAI community in the AMERICAS.

Skills

Software development

Cloud computing

Systems engineering

Infrastructure

Security

Data & analytics

Job description

Amazon Web Services, Inc. is seeking a genAI/ML Solutions Architect to help US customers design solutions using GenAI services such as Bedrock and SageMaker.

You will collaborate with field SAs to enable large-scale use cases and develop white papers, reference implementations, and presentations to accelerate AWS GenAI adoption. You will bring deep AI/ML expertise, help customers select tools, and influence product teams with customer feedback.