AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Are you a strategic thinker with hands-on technical skills that can influence stakeholders to set a bold vision and lead teams through high impact programs using Artificial Intelligence and Machine Learning? Would you like a career that gives you opportunities to help the largest Global customers and partners innovate and transform on Amazon Web Services?

At AWS, we’re hiring an experienced business-oriented AI/ML practitioner. They must possess a unique balance of business knowledge and technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. Their focus will be providing solutioning support with customer executives followed by hands-on delivery for AI ML workloads.

Successful candidates will have executive level experience defining, designing, and deploying enterprise level strategic solutions leveraging Data, Artificial Intelligence and Machine Learning. Domain expertise should include deep, practical and hands-on understanding of Machine Learning, Data and Business intelligence. The ideal candidate will also have experience with managing data at scale and automation.

- Innovate – Engage with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.

- Deliver value – Lead and support regional ProServe delivery teams as a Subject Matter Expert to deliver transformational ProServe AI/ML engagements for AWS customers.

- Pre-sales support – Create and deliver presentations to customers that inspire the art of the possible with AI/ML running at scale in the Cloud. Understand customer requirements and collaborate with AWS sales leaders to scope, present, and win new customer engagements

- Domain Leadership – Identify common customer interest across industry verticals and innovate new technology offerings. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.

- Expertise Transfer – Upskill AWS ProServe builders in industry verticals on proven ProServe offerings.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience

- 5+ years of defining and executing against program timeline & requirements experience

- Experience with AI/ML technologies

- Experience in customer-facing business presentations covering business and technical aspects or equivalent

- Knowledge of cloud computing concepts and design considerations

- Experience in sales, technical pre-sales, product development, or customer facing resources

- Experience in the financial services industry

- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Cloud Technology Certification

- Experience with AWS services

Acknowledgement of country:

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.

IDE statement:

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.