Senior Solutions Architect, Global Energy & Utilities

About the role

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.

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.

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