GenAI Solutions Architect — Energy & Utilities Leader

Amazon Inc.

Town of Florida (NY)

On-site

USD 154,000 - 208,000

Full time

2 days ago
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Job summary

Amazon Web Services, Inc. is seeking a hands-on Senior Solutions Architect focused on Generative AI for Global Energy & Utilities.

You will help energy customers build, differentiate, and scale GenAI solutions on AWS to drive measurable outcomes and accelerate revenue growth. You will architect GenAI solutions with deep model selection, RAG, and MLOps; develop reusable reference architectures and accelerators; present strategies to executives; create field enablement content; and translate

Qualifications

  • 8+ years in technology domains such as software development, cloud computing, or data & analytics.
  • 3+ years of design or consulting in applications and infrastructures.
  • 10+ years of IT development or implementation/consulting in software or Internet industries.

Responsibilities

  • Work directly with energy customers to architect GenAI solutions, including model selection, RAG architectures, agentic workflows, and MLOps.
  • Develop go-to-market motions with the AWS energy team and create reusable assets such as reference architectures and proofs of concept.
  • Present technical strategies to customer leadership and translate GenAI concepts into business value and actionable roadmaps.
  • Create field enablement materials for the broader solutions architect community and share best practices through blog posts, white papers, and public-speaking engagements.
  • Act as a technical liaison between customers and AWS product teams, translating feedback into clear requirements for product improvements.

Skills

GenAI
MLOps
Cloud computing
Software development

Tools

AWS

Job description

Amazon Web Services, Inc. is seeking a hands-on Senior Solutions Architect focused on Generative AI for Global Energy & Utilities.

You will help energy customers build, differentiate, and scale GenAI solutions on AWS to drive measurable outcomes and accelerate revenue growth. You will architect GenAI solutions with deep model selection, RAG, and MLOps; develop reusable reference architectures and accelerators; present strategies to executives; create field enablement content; and translate

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