Job Description
What if your job was to prove that an AI-powered idea actually works
- in weeks, not years
- for the organisations that serve millions of people every day? We're looking for a Technical Program Manager who thrives at the intersection of generative AI, agentic systems, and real-world public sector challenges across Australia and New Zealand. You'll own the delivery of rapid engineering prototypes
- most leveraging AI capabilities
- that de-risk major technology investments for government agencies, healthcare systems, research institutions, and critical infrastructure providers. This is a hands-on delivery role, not a coordination one. You will work side by side with software engineers and solutions architects to scope, plan, build, and ship AI-driven solutions that directly influence multi-million-dollar customer decisions. If you enjoy moving rapid, applying generative AI and machine learning to real problems, making architecture and trade-off decisions alongside engineers, and seeing your work in production within weeks
- not months
- keep reading. Key job responsibilities Engagement Ownership
- Own delivery of 2–4 concurrent engagements from qualification through build to customer handoff
- Translate business problems into prototyping charters with defined outcomes, timelines, and exit criteria
• Make architecture and design trade-offs alongside engineers
- own the technical outcome, not just the schedule
- Lead sprint planning, backlog prioritization, and execution across short build cycles Pipeline & Qualification
- Partner with sales and solutions architects to qualify opportunities against impact and feasibility
- Lead Working Backwards workshops to define scope and success metrics Reuse, Scale & Handover
- Architect for reuse across customers, verticals,



and geographies; plan handover with transfer artefacts and code drops
- Collaborate globally (NAMER, UKGI) to share patterns and adapt solutions across regions Regulated Environments
- Navigate data sovereignty, health privacy, and government security requirements; clear compliance blockers for co-builds involving customer data Stakeholder Navigation & Impact
- Primary interface between customer, account team, and engineering
- aligning sales priorities with technical feasibility
- Connect prototype outcomes to investment decisions; surface reusable patterns for service teams Technical Depth
- Stay current on AWS AI/ML (Bedrock, SageMaker, agentic frameworks), serverless, and app modernization
- Evaluate emerging GenAI, edge AI, and AI-assisted development patterns for public sector applicability A day in the life
- You ship working software
- not slide decks. Engagements end with a prototype answering real customer questions.
- Variety and pace
- AI health assistants one month, legacy modernization the next, in weeks-long cycles.
- Technical ownership
- design trade-offs alongside engineers; you own the outcome.
- Direct impact
- prototypes inform multi-million-dollar decisions for organizations serving millions.
- Small team, outsized reach
- high-autonomy work visible to senior leadership.
- Build once, amplify many
- solutions reused across countries and showcased at AWS events.
- Global team




- collaborating across time zones to share patterns and raise the bar. About the team A field-deployed AWS engineering team accelerating public sector outcomes through prototyping
- with AI at the core. We build working systems that de-risk transformation programs and unlock cloud adoption for government organizations across Australia and New Zealand. Work spans agentic AI, application modernization, edge AI, and AI-assisted development. Small teams on 1-6 week cycles demand sharp scoping and tight engineering-sales-SA collaboration. Solutions built to transfer, not maintain
- co-built with customers, architected for reuse, handover designed from day one. Aligned to health, transport, education, defence, and research, you build domain expertise across diverse technical problems.
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with AI/ML technologies
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience implementing scalable compliance solutions (technology, procedures, processes, etc.) in a regulated environment
- Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe

📌 Senior Tech Program Manager, AWS Worldwide Public Sector Engineering (Sydney)
🏢 Amazon
📍 Sydney