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4 дня назад

Senior Worldwide Specialist Solutions Architect (GenAI)

153 600 - 239 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Worldwide Specialist Solutions Architect (GenAI) (hirify.global/Bedrock): Designing and optimizing high-scale Generative AI solutions for customers with an accent on multimodal systems, image generation, and model fine-tuning. Focus on building prototypes and PoCs, developing field enablement materials, and translating customer feedback into product requirements for engineering teams.

Location: Must be based in the USA (Austin, Seattle, Arlington, New York, or Mountain View)

Salary: $153,600 – $239,000 USD annually

Company

Amazon Web Services (hirify.global) is the world's most comprehensive and broadly adopted cloud platform, serving both startups and Global 500 companies.

What you will do

  • Act as a Subject Matter Expert (SME) for designing and optimizing solutions leveraging Amazon Bedrock and other Generative AI services.
  • Develop white papers, blogs, reference architectures, and presentations to drive the adoption of GenAI on hirify.global.
  • Create field enablement materials to help other Solutions Architects integrate GenAI solutions into customer architectures.
  • Serve as a technical liaison between customers and Bedrock service teams to provide product improvement feedback.
  • Build prototypes and PoCs, implementing state-of-the-art machine learning algorithms under GenAI.
  • Evangelize hirify.global GenAI services through public speaking at events such as hirify.global Summit and hirify.global re:Invent.

Requirements

  • 8+ years of experience in software development, cloud computing, systems engineering, or data & analytics.
  • Proven experience leading the architecture and development of GenAI systems and platforms.
  • Deep proficiency in architecting AI systems with LLMs, including model customization and fine-tuning.
  • Strong knowledge of Machine Learning and LLM fundamentals, including training/inference lifecycles and experience with PyTorch.
  • 3+ years of experience in end-to-end technical architecture, design, and deployment for GenAI/ML platforms.
  • Expertise in prompt engineering, agentic workflows, embedding model fine-tuning, and retrieval method optimization.

Culture & Benefits

  • Comprehensive health insurance including medical, dental, vision, and prescription coverage.
  • Financial benefits including 401(k) matching and restricted stock units (RSUs).
  • Culture of work-life harmony and flexibility.
  • Inclusive environment with employee-led affinity groups and a focus on diverse experiences.
  • Extensive opportunities for mentorship and professional career growth.

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