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Worldwide Technical Leader, AWS Machine Learning & AI

Worldwide Technical Leader, AWS Machine Learning & AI

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Job Description

Would you like to own driving the global technical Machine Learning and Artificial Intelligence (ML & AI) technical field strategy for Amazon Web Services (AWS) and work with the world’s largest and most creative companies? Are you a Machine Learning specialist? Do you have advanced skills in deep learning, computer vision, neural networks, and natural language understanding? Do you like to solve the most complex and large-scale data challenges in the world today? Do you want to have an impact in the development and use of new Machine Learning and AI technologies? Would you like a career that gives you opportunities to help customers and partners use Cloud computing web services to build new solutions, faster, and at lower cost? Do you like to gain the deepest customer and partner insights using Cloud computing technologies?

At AWS we are building a cross-functional team of global technical leaders passionate about growing technology adoption of cloud computing by engaging directly with technical leaders, C-level executives and influencers at all levels across the industry. We are seeking individuals with the business background, technical depth, and communication skills needed to tackle the complex challenges customers face as they make the journey to the cloud. We're hiring highly passionate ML & AI experts to work with our Solutions Architects on key customer and partner engagements. This role will specifically focus on AWS Services for Machine Learning and Artificial Intelligence, and on helping our customers and partners build innovative solutions and businesses that focus on leveraging the value of data.

You will possess a technical background that enables you to drive an engagement and interact at the highest levels within our customer teams. You possess the presence and wherewithal to easily communicate the benefits of cloud computing to a variety of technical and business audiences. You also demonstrate the ability to think strategically and long-term about the needs of global businesses, and are deeply familiar with complex, legacy IT environments. Your understanding of the broad data and analytics ecosystem makes you stand out from your industry peers.

Roles & Responsibilities:
  • Together with the broader Solutions Architecture team, you will develop the technical strategy for AWS, particularly the technical elements of the strategy and plan to engage customers and partners.
  • You will devise strategy ­and engage with Solutions Architects, Account Managers, Professional Services, and Partners to define an ML & AI engagement strategy for AWS operational geographies and key accounts.
  • You are responsible for partnering with local domain experts across the globe to identify the most critical ML & AI technologies to guide AWS solution and service strategy.
  • You will establish technical credibility in sales cycles, personally and through the broader technical team to credibly drive discussions with CTOs, CIOs, Chief Architects, Senior Developers, etc. from both customer and partners.

Basic Qualifications

  • You will be highly technical and analytical, and will be capable of understanding the complexities of large commercial enterprise and Public Sector organizations.
  • You will have 7-10 years of experience in senior technical leader positions with a focus on data, analytics, and/or enterprise solutions selling.
  • You possess deep knowledge of enterprise IT including: database systems, tiered storage architectures, server and desktop virtualization, data center operations, network security with ability to evaluate current and future needs and represent unique AWS benefits.
  • You have a demonstrated ability to work effectively across internal and external organizations, with customers, SI’s and ISVs.
  • You will have experience with one or more Deep Learning frameworks such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch and Theanu.

Preferred Qualifications

  • Graduate degree in Statistics, Data Science or Computer Science is preferred.
  • Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps is highly desired.
  • AWS Solutions Architect - Professional Certification
  • You demonstrate strong verbal and written communications skills.