Posted 12 June, 2026
AWS Principal AI Specialist - GSI & ITES - India & SAARC Region
AWS India - Karnataka
Bengaluru, KA, IN
Full Time
Reference: 25deb06194e24f1a
Job DescriptionAWS seeks a Principal AI Sales Specialist professional to drive adoption of AWS's full stack AI services across GSI & ITES sector in...
Job Description
AWS seeks a Principal AI Sales Specialist professional to drive adoption of AWS's full stack AI services across GSI & ITES sector 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.
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
- Experience demonstrating technical breadth in AWS and/or cloud fundamentals
- Experience engaging with and influencing C-level executives
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent
- 2. 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).
- Strong communication skills (simplify complex AI concepts for diverse audiences).
- AWS certification
- Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience working as Chief AI Officer, AI Practice leader or AI Solution Leader.
- Work experience in GSI & ITES 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.
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
- 6+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience- Experience demonstrating technical breadth in AWS and/or cloud fundamentals
- Experience engaging with and influencing C-level executives
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent
- 2. 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).
- Strong communication skills (simplify complex AI concepts for diverse audiences).
PREFERRED QUALIFICATIONS
- Bachelor's degree, or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- AWS certification
- Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience working as Chief AI Officer, AI Practice leader or AI Solution Leader.
- Work experience in GSI & ITES 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.
This listing expired on 13 Jun. Applications are no longer accepted.
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