AWS Principal AI Specialist - GSI & ITES - India & SAARC Region

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.\n\nAbility 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.\n\nKey job responsibilities\nEngage 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.\n\nDrive 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.\n\nSolution 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\n\nThought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps\n\nBASIC QUALIFICATIONS:\n- 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\n- Experience demonstrating technical breadth in AWS and/or cloud fundamentals\n- Experience engaging with and influencing C-level executives\n- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent\n- 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).\n- Strong communication skills (simplify complex AI concepts for diverse audiences).\nPREFERRED QUALIFICATIONS:\n- Bachelor's degree, or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent\n- AWS certification\n- 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\n- Experience working as Chief AI Officer, AI Practice leader or AI Solution Leader.\n- Work experience in GSI & ITES sector with Hyperscalers, Strategy Consulting, Technology consulting arm of Big 4, AI consulting/services firms, GSIs, GCCs, ISVs.\n\nOur 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.

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