Senior AI Specialist Sales, Data and AI, Specialist Team

Senior AI Specialist Sales, Data and AI, Specialist Team

Job  | Amazon Web Services Australia Pty Ltd

Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across Australia. Amazon Web Services (AWS) is advancing the next evolution of AI adoption. We are seeking a Senior AI Sales Specialist who brings strong technical AI knowledge together with a customer-centric, outcomes-focused approach to revenue growth.

This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful adoption  you enjoy collaborating with diverse stakeholders, communicating technical concepts with clarity, and contributing to long-term customer success, we encourage you to apply.

• 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 agreement.
• Create thoughtful 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 GenAI and Agentic 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.
• 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‑focused Executive Briefing Centers, board presentations, and strategic planning workshops.

• Experience communicating technical concepts and processes using clear, simple language and visuals.
• 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.

• Experience developing, deploying and managing AI products at scale.
• Bachelor's degree in computer science, machine learning, engineering, or related fields, or Master's degree.
• Experience working with Generative AI technologies, including foundation models, LLMs, or autonomous agent frameworks.
• Familiarity with prompt engineering, retrieval-augmented generation (RAG) architectures, fine-tuning techniques, and AI deployment patterns.

In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our 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 (Use the "Apply for this Job" box below).

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