Senior Solutions Architect, Global Energy & Utilities
Amazon · Florida, USA ·
- Seniority
- Senior
- Category
- Architecture
AWS is leading the next phase of AI adoption with energy customers and is seeking a hands-on Senior Solutions Architect focused on Generative AI. In this role, you will work directly with AWS energy customers to help them build, differentiate, and scale GenAI solutions on AWS that drive measurable outcomes and accelerate revenue growth. This role focuses on converting GenAI ambition into repeatable, scalable offerings that can be built once and delivered to many customers. If you are someone who has built and shipped GenAI solutions in real-world settings and can transfer that expertise to customers, we want to hear from you.
Key job responsibilities
- Work directly with energy customers to architect GenAI solutions, going deep on model selection, fine-tuning strategies, retrieval-augmented generation (RAG) architectures, agentic workflows, and MLOps to deliver production-ready outcomes.
- Develop go-to-market motions with the AWS energy team, creating reusable assets such as reference architectures, proofs of concept, and delivery accelerators that can be deployed across multiple customers.
- Present technical strategies to customer leadership and C-level executives, translating complex GenAI concepts into clear business value and actionable roadmaps.
- Create field enablement materials for the broader solutions architect community, helping them integrate GenAI solutions into customer architectures, and share best practices through blog posts, white papers, and public-speaking engagements at events like AWS Summit and AWS re:Invent.
- Act as a technical liaison between customers and AWS product teams, translating customer feedback into clear requirements that drive product improvements.
A day in the life
You might start your morning reviewing a RAG architecture design for an energy customer's document processing pipeline, refining the retrieval strategy to improve accuracy. By midday, you are co-architecting a GenAI proof of concept with a customer's technical team, walking through model selection trade-offs and building alignment on the deployment approach. Later, you present a solution strategy to customer leadership, then wrap up by packaging the reference architecture from a recent engagement into a reusable accelerator for the broader community.
About the team
Our team works with major energy customers to solve their most complex business challenges using AWS. We collaborate across sales, engineering, professional services, and support to help energy customers build and scale GenAI solutions that create measurable impact. We are investing in generative AI and agentic architectures, and we are looking for builders who want to shape how the energy industry adopts AI.
AWS values a range of experiences. Even if you do not meet all of the qualifications listed in the job description, we encourage candidates to apply. Whether your career is just starting, has followed a non-traditional path, or includes alternative experiences, we want to hear from you. You will find knowledge-sharing, mentorship, and career-advancing resources here, along with an inclusive team culture supported by employee-led affinity groups and learning experiences.
Key job responsibilities
- Work directly with energy customers to architect GenAI solutions, going deep on model selection, fine-tuning strategies, retrieval-augmented generation (RAG) architectures, agentic workflows, and MLOps to deliver production-ready outcomes.
- Develop go-to-market motions with the AWS energy team, creating reusable assets such as reference architectures, proofs of concept, and delivery accelerators that can be deployed across multiple customers.
- Present technical strategies to customer leadership and C-level executives, translating complex GenAI concepts into clear business value and actionable roadmaps.
- Create field enablement materials for the broader solutions architect community, helping them integrate GenAI solutions into customer architectures, and share best practices through blog posts, white papers, and public-speaking engagements at events like AWS Summit and AWS re:Invent.
- Act as a technical liaison between customers and AWS product teams, translating customer feedback into clear requirements that drive product improvements.
A day in the life
You might start your morning reviewing a RAG architecture design for an energy customer's document processing pipeline, refining the retrieval strategy to improve accuracy. By midday, you are co-architecting a GenAI proof of concept with a customer's technical team, walking through model selection trade-offs and building alignment on the deployment approach. Later, you present a solution strategy to customer leadership, then wrap up by packaging the reference architecture from a recent engagement into a reusable accelerator for the broader community.
About the team
Our team works with major energy customers to solve their most complex business challenges using AWS. We collaborate across sales, engineering, professional services, and support to help energy customers build and scale GenAI solutions that create measurable impact. We are investing in generative AI and agentic architectures, and we are looking for builders who want to shape how the energy industry adopts AI.
AWS values a range of experiences. Even if you do not meet all of the qualifications listed in the job description, we encourage candidates to apply. Whether your career is just starting, has followed a non-traditional path, or includes alternative experiences, we want to hear from you. You will find knowledge-sharing, mentorship, and career-advancing resources here, along with an inclusive team culture supported by employee-led affinity groups and learning experiences.