Principal AI Specialist Sales

Amazon Amazon · Big Tech · Singapore · Sales, Advertising, & Account Management

This role is for a Principal AI Specialist Sales at Amazon Web Services (AWS). The primary focus is on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support successful AI adoption at scale. The role involves building pipelines, guiding customers through AI adoption journeys, identifying AI use cases, and advising on AWS AI services, including model selection, fine-tuning, deployment, and responsible AI practices. While the role engages with AI technologies like foundation models, LLMs, and agentic AI, its core function is sales and customer advisory, not direct AI/ML model development or research.

What you'd actually do

  1. Support the achievement of sales targets by developing and maintaining a healthy pipeline and guiding customers through end-to-end sales cycles, from discovery through to agreement;
  2. Create detailed account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools;
  3. Collaborate with customers to identify and qualify high-impact AI use cases aligned to their business priorities and strategic objectives.
  4. Act as a trusted advisor on AWS AI services, helping customers understand potential outcomes, value, and return on investment;
  5. Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine-tuning, and deployment approaches;

Skills

Required

  • 7+ years of experience in technology roles, including technical or solution-oriented sales, with a demonstrated history of contributing to revenue goals
  • Experience supporting complex, multi-stakeholder sales engagements and managing pipelines with a focus on accuracy and transparency
  • Strong communication skills, with the ability to explain complex technical topics in a clear, engaging way for both technical and executive audiences

Nice to have

  • Experience working with Generative AI technologies, including foundation models, LLMs, or autonomous agent frameworks
  • Exposure to AI model development, fine-tuning, or production deployment
  • Familiarity with prompt engineering, retrieval-augmented generation (RAG) architectures, fine-tuning techniques, and AI deployment patterns
  • Advanced degree (MS or PhD) in Machine Learning, Artificial Intelligence, Computer Science, or a related field

What the JD emphasized

  • revenue growth
  • AI adoption at scale
  • AI use cases
  • foundation models
  • LLMs
  • agentic AI
  • sales targets
  • technical AI knowledge
  • successful AI adoption
  • complex AI adoption journeys
  • AI services
  • model selection
  • fine-tuning
  • deployment approaches
  • model evaluation
  • responsible AI practices
  • governance considerations
  • compliance requirements
  • Generative AI technologies
  • foundation models
  • LLMs
  • autonomous agent frameworks
  • AI model development
  • fine-tuning
  • production deployment
  • prompt engineering
  • retrieval-augmented generation (RAG) architectures
  • fine-tuning techniques
  • AI deployment patterns