Generative Ai Specialist Architect For Energy & Utilities

• Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
• Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• Technical experience working with technologies related to multimodal, image generation, from model fine-tune to prompt engineering.
• Familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help customers in their selection process.

Are you passionate about Generative AI (GenAI)? Do you want to help transform businesses of AWS customers through GenAI? In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.
AWS is looking for a Generative AI Specialist Architect for the Energy & Utilities Business Unit, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. As part of the Energy & Utilities Industry Specialist Solutions Architecture team, you will work closely with customers in various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for AI/ML platforms. You will interact with other Solution Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI/ML on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services ML solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer’s needs.
Key job responsibilities

• Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Act as a technical liaison between customers and the AWS product teams to provide customer driven product improvement feedback.
• Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
• Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.

We are open to hiring candidates to work out of one of the following locations:
London, GBR

• Experience in infrastructure architecture, database architecture and networking
• Experience in Renewables, Power & Utilities, or Oil & Gas business domains.

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