Senior AI/ML Consultant, AWS Professional Services

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success.

Are you passionate about developing machine learning (ML) and Generative AI (GenAI) solutions? Would you like to help major global companies develop new businesses using ML and GenAI? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI expertise to solve various business problems for our customers.

AWS Professional Services helps AWS customers accelerate the use of ML and GenAI to solve business and operational challenges and drive innovation within their organisations. If you have experience building ML or GenAI solutions, we encourage you to join us. We are constantly innovating at AWS, and look forward to working with great teammates and helping our customers together.

Senior AI/ML Consultants understand customer business issues, analyse them, and summarise solutions. They build these solutions, using ML, GenAI and related AWS ML services as core components to solve the customer issues. They also work with their teammates such as AI/ML Engineers and Application Developers to bring these solutions to a production‐ready level. They are passionate about setting innovative goals and providing technical solutions to achieve them.

Key job responsibilities

• Accurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.
• Extract the IT requirements necessary to realise the business requirements and select candidate AI/ML services and algorithms.
• Assist the customer in developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or GenAI solutions, deploying validated solutions on their supporting infrastructure, and providing training to our customers.
• Collaborate with ML Engineers, Cloud Architect and Application Developer to build a production‐ready ML or GenAI solution.
• Use a wide range of IT tools, including AWS services (e.g. Amazon Bedrock, Amazon Sagemaker, Amazon AgentCore), Git and Docker, as well as a range of ML and GenAI frameworks such as Strands-Agents, PyTorch, Transformers, etc.

AWS Professional 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, optimise with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services.

About the team Diverse experiences AWS values diverse experiences. Even if you do not meet all of the preferred 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.

Why AWS? 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 AWS values curiosity and connection. Our employee‐led and company‐sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

Basic qualifications

• Experience with AWS or cloud technologies
• Bachelor's degree or equivalent experience in fields such as machine learning, operations research, applied mathematics, engineering or natural science
• 5 to 8 years of experience as a data scientist with experience building ML model and prompting GenAI model

Preferred qualifications

• Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
• Deep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineers
• Skills in creating experimental plans to iteratively develop AI and GenAI solutions, and the ability to accurately determine cause‐and‐effect relationships using baselines.
• Experience consulting with customers (including user departments) on their AI and GenAI needs.

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.