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Senior AI/ML Solution Architect, ANZ Public Sector

Amazon Web Services Australia Pty Ltd -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

CI/CD
Computer science
Doctoral degree
MCP
Sales
SAS
Computer vision
AWS
Machine learning
Natural language processing
APIs
AI
Analytics

Full Job Description

DESCRIPTION

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.

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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 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.

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