GenAI/ML Solutions Architect for AI Platform Solutions

Amazon Web Services (AWS)

Boston (MA)

On-site

USD 154,000 - 208,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
RSUs and equity benefits
401(k) matching
Paid time off
Parental leave

Job summary

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

You will work as an overlay to field sales teams, covering customers across multiple verticals and guiding architecture and adoption of AWS GenAI/ML services. You will design RAG architectures, agentic AI workflows, model customization strategies, responsible AI implementations, and

Qualifications

  • 8+ years of technology domain experience (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
  • 3+ years of design, implementation, or consulting in applications and infrastructures.
  • Experience in a technical role within a sales organization.

Responsibilities

  • Work with customers' development, data science, and AI teams to design solutions using AWS AI/ML services.
  • Partner with SAs, Sales, BD and AI/ML teams to drive adoption and revenue in the AMERICAS for GenAI/ML services.
  • Evangelize AWS GenAI/ML services through blogs, whitepapers, reference architectures, code repositories, and public events.

Skills

Software development
Cloud computing
Systems engineering
Infrastructure
Security
Networking
Data & analytics

Tools

Bedrock
Bedrock AgentCore
SageMaker AI
Nova models

Job description

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

You will work as an overlay to field sales teams, covering customers across multiple verticals and guiding architecture and adoption of AWS GenAI/ML services. You will design RAG architectures, agentic AI workflows, model customization strategies, responsible AI implementations, and

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