Aws Senior AI Specialist Sales – Telco, Media & Entertainment, Gametech - India & Saarc Region

Amazon Amazon · Big Tech · IN, HR, Gurugram · Sales, Advertising, & Account Management

This role is a Senior AI Specialist Sales position within AWS, focusing on driving the adoption of AWS's AI services across specific industry sectors in India and SAARC. The individual will engage with C-level executives to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation. Responsibilities include leading sales cycles, developing business cases, providing thought leadership, and achieving revenue targets for AI/ML services. While deep AI/ML expertise is required, the core function is sales and driving adoption, not direct AI/ML model development or research.

What you'd actually do

  1. 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.
  2. 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.
  3. 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
  4. Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps

Skills

Required

  • 15+ years sales or pre-sales experience in Data/Analytics/AI-ML/Digital Transformation in Telco, Media & Entertainment and Gametech sector with last couple of years in AI aligned roles.
  • 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).
  • Deep familiarity with AWS AI services, with the ability to translate technical capabilities to business outcomes.
  • Ability to engage and earn C-suite trust.
  • Strong communication skills (simplify complex AI concepts for diverse audiences).
  • 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.

Nice to have

  • MBA, or Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
  • AWS certification
  • Experience working as Chief AI Officer, AI Practice leader or AI Solution Leader.
  • Published thought leadership in AI/ML.
  • Work experience in Telco, Media & Entertainment and Gametech sector with Hyperscalers, Strategy Consulting, Technology consulting arm of Big 4, AI consulting/services firms, GSIs, GCCs, ISVs.

What the JD emphasized

  • 15+ years sales or pre-sales experience in Data/Analytics/AI-ML/Digital Transformation in Telco, Media & Entertainment and Gametech sector with last couple of years in AI aligned roles.
  • 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).
  • 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.