This role suits people passionate about AI and about reinventing software engineering to deliver faster, higher-quality products. You will join a team exploring every day how to evolve our ways of working to be AI-First and what’s possible with rapidly advancing LLMs and AI coding tools.
As a Senior AI-Native Engineer (.NET, Software Engineering), you will deliver AI-powered products and solutions for our clients, focusing mainly on enterprises, owning the journey from discovery and scoping through pilot and production to adoption.
The work is varied: deploying an agentic AI workflow inside a major health insurer, standing up an AI-powered platform for a bank, or designing intelligent automation for a public sector agency. Our clients are Fortune 1000s across financial services, health, and the public sector, and the problems are real, ambiguous, and production-bound.
The foundation is broad full-stack, generalist engineering: you are equally proficient across product, architecture, coding, and infrastructure. We expect daily use of AI coding tools such as GHCP, Claude Code, Cursor or Codex to generate most of your requirements, code, and architecture diagrams, at least on side projects and ideally day-to-day.
You will think and build end to end like a product engineer, not just think about the code. These are not staff augmentation placements: you take a product from journey to pilot to production, own the outcome it delivers, and care as much about whether it gets adopted and creates value as whether the code is elegant.
This is a hands-on engineering role within a consulting environment. You will embed directly with client engineering, product, and domain teams, translating ambiguous business problems into working systems that deliver measurable impact. You will be AI-native by default, applying PALO IT’s Gen-e2 methodology to drive quality, speed, and adoption across every engagement.
This role is based in Sydney. We operate a hybrid model with three days per week in our Sydney office or on client site, with the balance worked flexibly.
This is a client-facing role at its core: you’ll spend much of your time with clients, running discovery sessions, presenting to senior stakeholders, and owning the conversation as much as the code. If you enjoy owning a problem end to end and seeing your work land with the people who use it, and you’re energised by ambiguity rather than a well-defined backlog, you’ll thrive here.