Principal Solution Architect - GenAI for AWS Energy Data Insights, Energy - Products & Solutions

Company:  Amazon
Location: Austin
Closing Date: 22/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
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 an 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.

Key job responsibilities
  1. 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.
  2. Build Solutions & Guidance for EDI that leverage AI to enhance the geotechnical capabilities of the overall platform and beyond.
  3. 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.
  4. 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.
  5. 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.

BASIC QUALIFICATIONS
  1. 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  2. Bachelor's degree in computer science, engineering, mathematics or equivalent
  3. Experience developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT transformations toward cloud computing
  4. Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
  5. Experience with GenAI Agents and Agentic Workflows

PREFERRED QUALIFICATIONS
  1. Knowledge of distributed systems design and implementation or equivalent
  2. Knowledge of large scale automation and workflow management or equivalent
  3. Knowledge of database design and implementation or equivalent
  4. Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
  5. Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

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.#J-18808-Ljbffr
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