Amazon Web Services (AWS) - AWS Senior AI Specialist Sales Banking, India & SAARC Region ( 0-0 Yrs )

Department Icon Business Development / Sales
Posted: 4 months ago
15-17 years
Mumbai, Maharashtra
Business Development / Sales
work from office
Full Time

Posted: 4 months ago
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Job Description

Description

Job description

About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWSs full stack AI services across Banking and NBFCs in India and SAARC 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

Basic Qualifications

  • Work experience: 15+ years sales or pre-sales experience in Data/Analytics/AI-ML/Digital Transformation in Banking and Financial services with last couple of years in AI aligned roles.
  • 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). Deep familiarity with AWS AI services, with the ability to translate technical capabilities to business outcomes.
  • Executive & Sales Skills: 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.

Preferred Qualifications

  • MBA, or Bachelors 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 with Hyperscalers, Strategy Consulting, Technology consulting arm of Big 4, AI consulting/services firms, GSIs, Banking 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 youre applying in isnt listed, please contact your Recruiting Partner.

Company - AWS India - Haryana

Job ID: A3151556

Qualifications

  • Work experience: 15+ years sales or pre-sales experience in Data/Analytics/AI-ML/Digital Transformation in Banking and Financial services with last couple of years in AI aligned roles.
  • Technical Expertise: Proven experience in sales and/or practitione

Qualifications

  • MBA, or Bachelors 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

Company Description

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazons expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Skills

SalesSales Execution

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About Company

ETCIO.com, powered by ETC, is a comprehensive online platform dedicated to providing the latest news, information, and insights about the cloud data center industry. It serves as a valuable resource for professionals and organizations involved in cloud computing, data center management, and related fields.

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