AWS Senior AI Specialist Sales – Amazon Quick

About The Role

• AWS seeks a Senior AI Specialist Sales professional to drive adoption of Amazon Quick in India. This individual contributor role requires deep AI/ML expertise, executive presence
• 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 Amazon Quick 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
• strategic planning workshops. Drive adoption and revenue for Amazon Quick as the platform of choice to solve enterprise productivity, analytics
• workflow challenges across industries. Articulate differentiated value of Quick's AI agents, Spaces, Flows, Research
• embedded analytics capabilities to C-level and technical stakeholders, translating features into quantified business outcomes (ROI, time-to-insight, automation savings). Develop and execute account strategies that land and expand Quick across Free, Plus, Professional
• Enterprise tiers, identifying up sell opportunities as customers mature from basic chat to full-stack BI, automation
• enterprise governance. Collaborate cross-functionally with Solutions Architects, Product
• Partner teams to deliver compelling demos, proof-of-value engagements
• enterprise security narratives (HIPAA, FedRAMP, SOC2) that accelerate deal closure. 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 Amazon Quick for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots. 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
• 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
• 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.
• Bachelor's degree, or 5+ 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.
• AWS certification - - MBA
• Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - - 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 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.