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, 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 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, and strategic planning workshops.

Drive adoption and revenue for Amazon Quick as the platform of choice to solve enterprise productivity, analytics, and workflow challenges across industries.

Articulate differentiated value of Quick's AI agents, Spaces, Flows, Research, and 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, and Enterprise tiers, identifying up sell opportunities as customers mature from basic chat to full-stack BI, automation, and enterprise governance.

Collaborate cross-functionally with Solutions Architects, Product, and Partner teams to deliver compelling demos, proof-of-value engagements, and 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, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
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Work/Life Balance
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Inclusive Team Culture
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Basic qualifications

• 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.

Preferred qualifications

• AWS certification
• - MBA, or 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

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