Senior AIML Solution Architect, ANZ Public Sector

Join the ANZ Public Sector Specialist Organisation as we drive the next wave of AI-led transformation for Australian and New Zealand government and education customers. This role sits at the heart of our strategy helping customers modernise their development and AI/ML practices. Beyond agentic and generative AI this role also covers traditional AI/ML and MLOps ensuring our customers can build deploy and operate predictive and classical ML workloads alongside their generative and agentic AI initiatives. Youll partner closely with our AI Sales Specialist counterparts and work alongside the rest of the Specialist SA team.

- Mission-driven work with ANZ public sector customers tackling some of the regions most consequential digital transformation challenges
- Deep technical engagement spanning developer-focused agentic traditional AI/ML and MLOps services

Key job responsibilities
- Help customers adopt modern AI-assisted development practices
- Drive agentic application modernisation including containerisation code-level modernisation (API development language porting and upgrades) and in-house tool development
- Equip customers to remove barriers to agentic AI process automation by enabling them to build the tools they need MCP servers APIs service buses etc
- Support customer adoption of traditional AI/ML services and embed MLOps best practices including model lifecycle management feature stores model monitoring drift detection CI/CD for ML and governance
- Maintain L400 depth in developer- and agentic-focused AI services
- Maintain L400 depth in traditional AI/ML and MLOps services
- Maintain L300 depth across other AI services such as Amazon Quick growing to L400 over time
- Partner with the AI Sales Specialists to align technical engagements with sales outcomes
- Coordinate with other AI/ML Specialist SAs to ensure developer-side enablement and MLOps foundations underpin business process transformation at executive levels

A day in the life
Youll spend most of your time directly with ANZ public sector developer data science and ML platform teams and executive stakeholders running deep technical sessions on AI-assisted development agentic architectures AI-led modernisation and MLOps foundations using Kiro Bedrock AgentCore AWS Transform and SageMaker AI. Youll partner closely with your specialist sales counterpart on key deals other specialist SAs account SAs ProServe Prototyping and partners.

Problems range from helping teams adopt agentic development practices to designing production-grade MLOps pipelines for traditional ML workloads to helping guide modernisation of legacy applications with agentic tooling to enabling customers to build MCP servers and APIs that unlock agentic process automation across their organisations.

About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve.

- 8 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 8 years of design implementation or consulting in applications and infrastructures experience
- Experience with AWS or cloud technologies
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience programming with at least one software programming language
- Knowledge of machine learning processing: computer vision NLU NLP or operations research

- Ph.D. in operations research applied mathematics theoretical computer science or equivalent or experience working with or evaluating AI systems
- Experience working with or for Australia/New Zealand Public Sector organisations

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.