AWS Principal AI Specialist – GSI & ITES India & SAARC Region
Job Summary
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
- 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).
- Bachelors 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.
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Required Experience:
Staff IC
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