About the role

AI summarised

Senior AI Sales Specialist at Amazon Web Services (AWS), a cloud computing leader. The role involves driving AI adoption by partnering with customers to identify use cases, build pipelines, and guide sales cycles. Requires strong technical AI knowledge and consultative sales skills to translate complex AI capabilities into business value.

BusinessFull-time

Key Responsibilities

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
Create detailed account plans and territory strategies in partnership with internal teams, while maintaining accurate forecasting using CRM tools
Collaborate with customers to identify and qualify high-impact AI use cases aligned to their business priorities and strategic objectives
Act as a trusted advisor on AWS AI services, helping customers understand potential outcomes, value, and return on investment
Lead technical discovery sessions and contribute to demonstrations, proofs of concept, and solution design, including model selection, fine-tuning, and deployment approaches
Provide guidance on model evaluation, responsible AI practices, governance considerations, and relevant compliance requirements
Build and maintain strong relationships with decision-makers and executive stakeholders through a consultative, collaborative approach
Partner with internal teams to deliver workshops, enablement sessions, and solution reviews that support customer learning and adoption
Share customer insights and feedback with AWS AI product teams to help inform product direction and improvements

Requirements

5+ 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
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