Operations Research and AI Consultant, AWS Professional Services

Amazon is hiring an Operations Research and AI Consultant, AWS Professional Services in Melbourne, Australia. Level rates it ; you can apply on Level.

AI in this role

bedrockpytorchsagemaker

Are you passionate about developing Operations Research (OR) and Generative AI (GenAI) solutions? Would you like to help major global companies to optimise their process? Amazon has been investing in operations research and AI for decades. We are looking for people who can leverage their operations research and GenAI expertise to solve various business problems for our customers.

AWS Professional Services helps AWS customers accelerate the use of OR and GenAI to solve business and operational challenges and drive innovation within their organisations. If you have experience building such 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.

Operations Research and GenAI Consultants understand customer business issues, analyse them, and summarise solutions. They build these solutions, using OR tools and AI as core component to solve the customer issues. They also work with their teammates such as AI 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 optimisation algorithms. In addition, you will work with specialist roles in related technical fields to build and verify OR solutions, as well as help develop an architecture that combines the necessary AWS services for achieving the customer's goals.
- Assist our customer on developing OR and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating OR 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 OR or GenAI solution
- To support the above, you will work with a wide range of IT tools, including AWS services (e.g. Amazon Bedrock, Amazon Sagemaker, Amazon AgentCore, Amazon EKS), Git and Docker, as well as with a range on OR and GenAI framework such as Strands-Agents, pytorch, OR-Tools, etc

A day in the life
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, 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.

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. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

- Experience with AWS or cloud technologies
- Bachelor's degree or equivalent experience in fields such as operations research, applied mathematics, mathematical optimisation, industrial engineering, or a related quantitative discipline
- 3 to 5 years of experience as an operations research scientist or optimisation specialist, with experience building mathematical optimisation models (e.g. linear programming, integer programming, constraint programming) and leveraging AI/GenAI for solution development

Preferred qualifications

- Master's degree or above in Operations Research, Applied Mathematics, Mathematical Optimisation, Industrial Engineering, 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 designing experimental frameworks to iteratively develop and validate optimisation and GenAI solutions, including the ability to accurately determine cause-and-effect relationships using baselines and counterfactual analysis
- Experience consulting with customers (including internal departments)
- Familiarity with optimisation solvers and/or simulation frameworks
- Experience applying heuristic methods to large-scale real-world problems

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.

How we rate this

Operations Research and AI Consultant, AWS Professional Services at Amazon rates 5 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Operations Research and AI Consultant, AWS Professional Services is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in AU, VIC, Melbourne.
The job was posted on October 8, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

BedrockPyTorchSagemaker

Questions you could be asked

What's a project where you used Bedrock hands-on?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of Sagemaker that you've run into, and how did you work around them?

Adapt your resume

List these exact terms on your resume: Bedrock, PyTorch, and Sagemaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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