Sr. Genai & Ml Specialist Solutions Architect

Amazon

NY, United States
169,000.00 - 228,600.00 usd annually py
On-site
Generative ai and ml expertise
Aws generative ai and ml services
Customer business challenges translation
Amazon is seeking a Senior Generative AI & ML Specialist Solutions Architect to join their Data & AI Specialists team for Automotive & Manufacturing. The role requires deep technical expertise in AI solutions and involves engagement with senior stakeholders to drive adoption of AWS services

Job Summary

  • Translate customer business challenges into solutions leveraging AWS, defining, designing, and deploying targeted architectures that accelerate adoption of AWS Generative AI and ML services.
  • Engage with senior engineers, architects, product leaders, data scientists, and executives at strategic enterprise customers to influence architectural decisions and provide structured feedback to AWS product teams.
  • Act as a thought leader in Generative AI by sharing best practices through AWS blogs, whitepapers, reference architectures, code samples, and public speaking engagements.

Matching Summary

Match Score: 85

Amazon is seeking a Senior Generative AI & ML Specialist Solutions Architect to join their Data & AI Specialists team for Automotive & Manufacturing. The role requires deep technical expertise in AI solutions and involves engagement with senior stakeholders to drive adoption of AWS services.

Salary

169,000.00 - 228,600.00 USD annually

Skills & Requirements

Must-have

  • Generative AI and ML expertise
  • AWS Generative AI and ML services
  • Customer business challenges translation
  • Architectural decision influence
  • AI ecosystem partner collaboration
  • Proof-of-concept development

Nice-to-have

  • Customer-obsessed builder
  • Business acumen and technical pre-sales
  • Impactful AI solutions building
  • Executive-level customer engagement
  • Thinking big and delivering outcomes
  • Collaborating seamlessly across AWS

Key Requirements

  • Deep technical background and business acumen
  • Hands-on expertise in traditional ML
  • Hands-on expertise in emerging AI areas
  • Ability to advise senior stakeholders on architectural trade-offs
  • Experience with foundation model providers

Work Rights

Not specified

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