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. You'll 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 region's 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
You'll 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. You'll 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 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.