Job Information
Amazon GenAI - Specialist US-FEDERAL in Arlington, Virginia
Description
Specialist – Artificial Intelligence & Machine Learning, US-FEDERAL
Do you have broad and deep experience in both the business and technical aspects of cloud computing, especially in artificial intelligence (AI) and machine learning (ML)? Do you have rich experience understanding and influencing compute technology choices and building programs to remove obstacles to adoption with US-Federal customers (Government, Civilian Agencies, Defense)? Can you help business leaders and technologists adopt new cloud services? Can you envision a future where smarter machines solve complex business problems?
Amazon Web Services, the world’s leading provider of cloud computing services, is looking for a GenAI Specialist to join the Worldwide Public Sector (WWPS) technical team focusing on Amazon artificial intelligence and machine learning. Working side by side with sales and technical leaders, you will be responsible for helping customers create new applications, new capabilities, and increase their efficiency by adopting Amazon AI and ML services.
The ideal candidate will possess technical expertise in AI and ML, along with a strong executive presence, a diverse technical, IT management, and/or engineering background, as well as knowledge of cloud computing, industry trends, and product developments. This role requires a strong passion for working with customers and partners, a high level of comfort navigating ambiguity, and attention to detail. Travel for face-to-face customer engagements, internal conferences, and industry events.
Responsibilities:
· Build a strong understanding of AI/ML technology and related industry developments, including GenAI Amazon services.
. Engage with customer and partner executive suite to position the value of Amazon GenAI services and solutions.
· Communicate internally and externally about Amazon AI/ML approach, value proposition, and offerings. Help field teams understand AI/ML services and help customers successfully adopt them.
· Understand and uncover customers’ challenges in adopting AI/ML, and show how AWS solutions can help them provide new services, new capabilities, and new efficiencies.
· Work with partners, internal teams, and customers to determine best use-cases, deployment, and adoption of AI/ML and related technologies, etc.
· Work closely with WWPS account teams and sales and technical leadership to build programs that accelerate adoption of AI/ML, including generating technical content and white papers.
· Define and deploy AI/ML campaigns and work with sales and field teams to implement them.
· Identify and remove obstacles that block adoption of AI/ML and related workloads.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
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.
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 and 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.
Basic Qualifications
10 years or more of relevant technical leadership, product management, business development, in and around information technologies.
3 years or more of experience in AI/ML (e.g., product management, business development, technical marketing, etc.).
1 or more years of with public cloud computing services.
Bachelors degree in computer science, engineering or related technical degree.
Preferred Qualifications
Deep and broad experience with cloud computing and distributed systems.
In-depth experience in AI/ML technology, market dynamics, and customer requirements.
Demonstrated ability to think strategically about business, product, and technical challenges.
Demonstrated ability to build and scale programs that remove blockers to customer adoption and accelerate adoption.
Must have a passion for innovation, be comfortable defining a way forward in the face of ambiguity, and have the ability to scale and influence broadly.
Strong organizational, presentation, and writing skills.
Masters degree or PhD in relevant business, computer science, or engineering disciplines.
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.
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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,600/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.
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