About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWSs full stack AI services across ISV sector in India region. This individual contributor role requires deep AI/ML expertise executive presence and proven sales success. Youll 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 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
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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.
- 7 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Experience demonstrating technical breadth in AWS and/or cloud fundamentals
- Experience in direct sales or business development in software cloud or SaaS markets selling to C-level executives
- Technical Expertise: Proven experience in sales and/or practitioner roles across end-to-end AI value chain incl. LLMs foundation models RAG model fine-tuning ML Ops and AI infrastructure (GPUs custom silicon and accelerated compute).
- Consultative selling with discovery problem framing solution design. Strong business acumen across financial modeling ROI analysis competitive dynamics. Experience managing complex multi-stakeholder sales cycles.
- MBA or Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
- AWS certification
- Experience with AI/ML technologies
- Experience working as Chief AI Officer AI Practice leader or AI Solution Leader.
- Work experience in ISV/DNB/Startup sector with Hyperscalers Strategy Consulting Technology consulting arm of Big 4 AI consulting/services firms GSIs GCCs ISVs.
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Required Experience:
Senior IC
Employment Type : Full-Time
Experience: years
Vacancy: 1
