A senior hands-on AI/ML leadership role within ANZ ProServe. The consultant will own the Agentic AI workstream for a large-scale modernisation program, specifically owning the AI , Data platform and agentic development. They will influence the broader modernisation strategy and improve its efficiency by designing and deploying agentic AI solutions that help accelerate legacy application and database modernisation.

They will also enable the roll out of net new agentic AI capabilities for the customer.

This is not a pure data science or model-building role. It is a strategic technical leadership position requiring the ability to shape AI platform architecture, drive production agentic AI systems at enterprise scale, and influence both technical and business stakeholders across a complex modernisation landscape.

Key job responsibilities

Key Responsibilities

- Own the Agentic AI workstream end-to-end: platform architecture, agent development patterns, deployment, and governance
- Design and deploy agentic AI solutions that accelerate legacy application and database modernisation
- Enable roll out of net new agentic AI capabilities for the customer
- Serve as the senior AI/ML technical authority on a large multi-workstream program
- Define AI platform strategy on AWS (Bedrock, AgentCore, SageMaker) and establish reusable patterns for agentic use cases
- Influence the modernisation strategy, collaborating with modernisation architects, application developers, and data engineers
- Advise senior customer stakeholders on AI strategy, risk, and adoption approaches
- Establish evaluation frameworks, safety guardrails, and governance for production agentic systems
- Mentor and uplift team capability in GenAI/Agentic AI delivery

Key Skills: Agentic AI & Multi-Agent Systems / AI Platform Architecture (AWS) / Application & Database Modernisation / Enterprise GenAI Delivery / MLOps & Production AI / Technical Leadership / Stakeholder Management / AI Governance & Safety 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 , 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 qualified.

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: - Bachelor's degree in Computer Science, Math, or a related field

- Experience managing and delivering large-scale enterprise IT projects
- Experience with IT compliance and risk management requirements (e.g. security, privacy, SOX, HIPAA etc.)

- Experience with software development life cycle (sdlc) and agile/iterative methodologies Preferred Qualifications: - Knowledge of compliance and security standards across the enterprise IT landscape
- Experience implementing AWS services in a variety of distributed computing environments
- Experience managing executive customer relationships and key business stakeholders
- Experience with enterprise architecture frameworks (like TOGAF, Zachman) and identifying the relationships between business services, information, applications and global infrastructure assets
- Experience with enterprise systems including SAP, Oracle, and custom applications

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.

📌 Pr. Delivery Consultant AIML, AWS Professional Services (Perth)
🏢 Amazon
📍 Perth