Principal GenAI Architect: Enterprise AI at Scale

Amazon Web Services (AWS)

New York (NY)

On-site

USD 201,000 - 272,000

Full time

48 hours ago
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Benefits offered by this job

Health insurance
RSUs
401(k) matching

Job summary

Amazon Web Services (AWS) is seeking an AI/ML Specialist Solutions Architect to lead design of scalable, secure, and cost-efficient GenAI and Agentic AI solutions on AWS. You will craft reference architectures, engage with customers and partners, and translate complex AI needs into production-ready deployments.

You will collaborate with senior engineers, drive adoption of AI best practices, governance, and responsible AI initiatives, and contribute to the GenAI Specialist team across strategic

Qualifications

  • 10+ years in technology domains (software/cloud/AI)
  • Experience evangelising end‑to‑end technology roadmaps
  • Proven ability to communicate with executives and technical teams
  • Experience designing scalable, secure AWS AI solutions

Responsibilities

  • Build trusted advisor relationships to drive adoption of AWS AI services
  • Architect scalable, secure, cost‑effective AI/ML solutions on AWS
  • Develop technical content and reference architectures for GenAI/Agentic AI
  • Create workshops, demos and best practices for AI workloads
  • Collaborate with AWS teams to accelerate customer success from PoC to production
  • Act as liaison between customers and AWS engineering to ensure governance and best practices

Skills

AI/ML architectures
GenAI/Agentic AI
LLM customization
Executive communication

Education

Bachelor's degree in CS/engineering/mathematics

Tools

LangGraph
CrewaI
GenAIOps

Job description

Amazon Web Services (AWS) is seeking an AI/ML Specialist Solutions Architect to lead design of scalable, secure, and cost-efficient GenAI and Agentic AI solutions on AWS. You will craft reference architectures, engage with customers and partners, and translate complex AI needs into production-ready deployments.

You will collaborate with senior engineers, drive adoption of AI best practices, governance, and responsible AI initiatives, and contribute to the GenAI Specialist team across strategic

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