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AWS AI Specialist Sales – ISV
Amazon
On-siteseniorPosted May 13, 2026
About the Role
Engage C-suite executives to drive AWS AI services adoption, articulate business value, design solutions, manage sales cycles, and provide market insights to inform product roadmaps.
Requirements
Senior AI Specialist Sales professional with deep AI/ML expertise, executive presence, and proven sales success to drive adoption of AWS full-stack AI services, especially Generative AI and Agentic AI, across ISV/DNB sectors.
Full Job Description
About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across ISV/DNB sectors. This individual contributor role requires deep AI/ML expertise, executive presence, and proven sales success. You'll engage C-level executives (CEOs, CTOs, CAIOs, CFOs, line of business owners) to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation.
Key requirement: Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation, as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support for Level 300+ deep dives.
Key job responsibilities
Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focussed Executive Briefing Centers, board presentations, and strategic planning workshops.
Drive adoption of AWS full stack AI services (incl., but not limited to Amazon Bedrock, SageMaker, Amazon Q, Trainium / Inferentia etc.). Focus on Generative AI and Agentic AI as priority areas. Articulate business value from infrastructure (custom silicon) to applications; and position AWS AI services differentiation across aspects of model choice, security, cost optimization, responsible AI etc.
Solution Design & Sales Execution: Structure C-suite conversations on business outcomes that can be delivered using AI. Identify high-value industry-aligned use cases. Develop compelling business cases with quantified ROI and time-to-value. Own revenue targets for AI/ML services for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots demonstrating AWS AI services
Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps
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.
Key requirement: Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation, as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support for Level 300+ deep dives.
Key job responsibilities
Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focussed Executive Briefing Centers, board presentations, and strategic planning workshops.
Drive adoption of AWS full stack AI services (incl., but not limited to Amazon Bedrock, SageMaker, Amazon Q, Trainium / Inferentia etc.). Focus on Generative AI and Agentic AI as priority areas. Articulate business value from infrastructure (custom silicon) to applications; and position AWS AI services differentiation across aspects of model choice, security, cost optimization, responsible AI etc.
Solution Design & Sales Execution: Structure C-suite conversations on business outcomes that can be delivered using AI. Identify high-value industry-aligned use cases. Develop compelling business cases with quantified ROI and time-to-value. Own revenue targets for AI/ML services for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots demonstrating AWS AI services
Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps
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.