Job Description
Full job description
DESCRIPTION
About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's 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. 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
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
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 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 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 you’re applying in isn’t listed, please contact your Recruiting Partner.
DESCRIPTION
About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's 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. 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
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
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 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 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 you’re applying in isn’t listed, please contact your Recruiting Partner.
💡 Quick Summary
Seeking a career-building opportunity? The AWS Senior AI Specialist Sales – Banking, India & SAARC Region position is now open for candidates interested in the Finance sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Finance is a plus.