GenAI - Specialist US-FEDERAL
GenAI - Specialist US-FEDERAL
Posted on :
13-07-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
13-07-2025
Job 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 worlds 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.
Key job 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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.
- 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 worlds 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.
Key job 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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.
- 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
