Amazon Web Services (AWS) · 3 hours ago
Principal Technologist for AI, Cloud and AI Innovation Team
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Responsibilities
AI enterprise technologists are the voice of AWS to the leaders in AI of enterprise customers and prospects, and, conversely, the voice of large enterprises back to AWS. This is a uniquely Amazonian offering; customer-obsessed and entirely oriented toward helping our customers be more successful. We earn trust and credibility with leaders of enterprise customers through our experience working at the enterprise level and our firsthand experience with the challenges of AI adoption.
We’ve developed a number of mechanisms through which we deliver our expertise. We meet with both technology and non-technology customer executives at critical stages of their AI journey to help them overcome impediments such as cultural change, organizational structure, governance models, and investment strategies.
We write articles, blog posts, and other content to help our customers be more successful and to advance AWS’s position as a thought leader in AI.
We track the pulse of the AI and Generative AI community and provide feedback to AWS on customer needs and effective enterprise positioning, and work with the AWS sales and marketing employees to improve their ability to communicate with enterprise executives.
We travel over 50% of the time to meet with customers.
Qualification
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Required
10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
Bachelor's degree in computer science, engineering, mathematics or equivalent
Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
5+ years delivering enterprise-wide AI programs across multiple business units within large organizations
Preferred
Experience leading multiple AI projects across large enterprises
Well connected with AI executives throughout one or more industries
Established voice (via LinkedIn, blogs, books, presentations, or other thought leadership) in the AI community
Ability to empathize with a large company’s existing legacy – people, process, or technology – and help map a way forward.
Ability to deal with ambiguity and manage changing priorities
Robust understanding of key AI technology and market trends
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
Funding
Current Stage
Late StageLeadership Team
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