DESCRIPTION

Are you passionate about AI and Generative AI (GenAI)? Do you want to help transform energy and utilities businesses through the power of the AWS Energy Data Insights (EDI) platform and GenAI? In this role, you will help AWS build AI & GenAI into our EDI product suite and help customers build and deploy AI & GenAI-enabled applications using Amazon Bedrock, fine-tune and build Generative AI models, Agents, etc. and leverage these to power innovative solutions for our largest upstream customers and partners.

As a AI Specialist Architect for the Energy Data Insights (EDI) on AWS, you will engage with engineering and product to influence the direction of the EDI platform and help our customers and partners tap into new markets by utilizing AI & GenAI along with other AWS services. You will work closely with customers in various geographies to enable large-scale use cases and drive the adoption of the EDI platform and AI capabilities.

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/GenAI on the EDI platform. You will also create field enablement materials for the broader SA population, to help them understand how to integrate the EDI platform and GenAI solutions into customer architectures.

You will drive effective feedback gathering from engineering, product, and customers, and you will distill and translate that feedback into clear business and technical requirements for the EDI product and engineering teams to review. You will sponsor the creation of rapid new prototypes, products, and features from these requirements, working closely with the product and engineering teams to minimize requirements drift from your customers’ needs.

About our platform:
The AWS Energy Data Insights (EDI) platform is a comprehensive data management and analytics solution designed for the energy and utilities industry. Built on the OSDU Data Platform, EDI provides a unified data foundation to ingest, organize, and analyze data from diverse sources. By leveraging the power of the cloud and AI, the EDI platform enables energy companies to make data-driven decisions, optimize operations, and drive innovation.

To learn more about the EDI platform, please visit:
[https://aws.amazon.com/blogs/industries/reinventing-energy-with-energy-data-insights-on-aws-for-the-osdu-data-platform/]
[https://aws.amazon.com/energy-utilities/osdu-data-platform/]

Key job responsibilities
– Act as a technical liaison between customers and the AWS product teams to provide customer-driven product improvement feedback for the EDI platform and GenAI services.
– Build Solutions & Guidances for EDI that leverage AI to enahnce the geotechnical capabilities of the overall platform and beyond.
– Create field enablement materials for the broader SA population, to help them understand how to integrate the EDI platform and Amazon Web Services GenAI solutions into customer architectures.
– Implement and deploy state-of-the-art machine learning algorithms under GenAI. Build prototypes, PoCs, and explore new solutions. Interact closely with customers and the academic community.
– Thought Leadership – Evangelize AWS GenAI services and the EDI platform, sharing best practices through forums such as AWS blogs, white-papers, reference architectures, and public-speaking events.

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.

BASIC QUALIFICATIONS

– 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
– 3+ years of design, implementation, or consulting in applications and infrastructures experience
– 10+ years of IT development or implementation/consulting in the software or Internet industries experience
– Experience with GenAI Agents and Agentic Workflows

PREFERRED QUALIFICATIONS

– 5+ years of infrastructure architecture, database architecture and networking experience
– Experience working with end user or developer communities
– – Advanced degree in geology or geophysics

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

USA, TX, Houston