Description Are you a technologist that has leveraged AI to transform the technology and business capabilities of a large company? Can you help leaders understand how AI can change the way value is delivered to customers? Can you influence large teams of people, even in the face of uncertainty? At Amazon Web Services (AWS), we're hiring AI technologists to guide our efforts and advise the largest and most complex companies on how they can transform the way they leverage AI, Data and Cloud to deliver business value. AWS AI Enterprise Technologists leverage their personal experiences using AI, combine them with the experiences of other customers, and help large companies understand how they can benefit from the cloud. Ideal candidates are well versed in the challenges large companies face across their people, process, and technology when implementing AI, Cloud and Data Strategies. This includes leadership, application & AI model development, application & model operations, security, business case development, technology budgeting, etc. They use this knowledge to help customers identify and overcome the same challenges, author best practices and create and deliver presentations to executive audiences, develop and facilitate executive community building, help AWS product teams and partners understand how enterprise executives make decisions, and develop/improve mechanisms to help customers gain value from the use of AI and Generative AI. About the team 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. Key job 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. About the team The AI enterprise technology group is composed of former Heads of Data Science and AI from large enterprise customers and is a part of the broader enterprise technologists team that focus on cloud-based digital transformation. The team is globally distributed and represents a range of industries and areas of expertise, and all are capable of earning trust with CDOs, CAIOs, CTOs, leaders of enterprise customers. Basic Qualifications - 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 Qualifications - 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 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $164,500/year in our lowest geographic market up to $284,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.