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Ingrity • Sydney, New South Wales, Australia
Role & seniority: Senior Automation Engineer / Lead technical practitioner (non-managerial, but with strong technical and solution leadership).
Stack/tools: UiPath (mandatory); Python for ML pipelines; ML/AI integration (Generative AI, predictive models); API and enterprise system integrations; low-code AI agents (desirable); Databricks (desirable); automation governance and production monitoring.
Lead design and delivery of high-impact Intelligent Process Automation initiatives.
Develop, deploy, and optimise end-to-end automation solutions using UiPath; integrate AI/ML where applicable.
Mentor junior engineers and offshore teams; influence platform decisions; ensure production stability and governance.
Hands-on UiPath automation development and deployment (mandatory).
Strong Python and ML pipeline integration; knowledge of ML concepts in operational automation.
Experience with Generative AI/POC development; API/integration patterns; enterprise-scale automation delivery.
5–8+ years in Intelligent Automation, RPA, Data Science, or related fields; Bachelor’s degree.
UiPath certification highly desirable.
Experience building low-code AI agents within UiPath or similar.
Familiarity with Databricks or modern data platforms.
Deployment/orchestration/monitoring of automation assets; production governance.
Location & work type: Location and work-type not specified in
About The Job
INGRITY believes in the power of intelligent automation and AI to drive meaningful, measurable business outcomes — and our Automation & AI Centre of Excellence sits at the heart of that mission.
We’re seeking an exceptional Automation Engineer with strong UiPath expertise and a Data Science background to join our team as a key technical practitioner. This is a hands-on, highly influential role focused on designing and delivering intelligent automation solutions embedded into real business processes and operating at scale.
While this is not a formal people leadership position, it carries significant technical and solution leadership responsibility. You’ll guide delivery teams, mentor engineers and data practitioners, influence automation platform decisions, and work closely with senior business leaders to turn complex operational challenges into scalable, production-ready automation solutions.
Your work will span the full lifecycle — from discovery and proof-of-concepts through to fully industrialised automation assets delivering tangible outcomes such as cost reduction, operational efficiency, improved customer experience, and risk optimisation across insurance and financial services environments.
What You'll Do
Lead the design and delivery of high-impact Intelligent Process Automation (IPA) initiatives. Develop, deploy, and optimise end-to-end automation solutions using UiPath (mandatory). Design and implement AI-enabled automation solutions combining RPA, machine learning, and decision intelligence. Build intelligent bots integrating predictive models and Generative AI into core business processes. Develop and productionise ML-powered automation pipelines in Python. Deliver solutions from rapid experimentation to governed, enterprise-scale deployment. Translate complex business processes into scalable automation architectures. Partner with senior stakeholders to identify inefficiencies and deliver measurable value. Mentor junior automation engineers and offshore delivery teams. Advocate for automation governance, model risk management, and production stability.
Core Technical Skills
Strong hands-on experience building and deploying workflow automation on UiPath (mandatory). Experience developing low-code AI agents within UiPath or similar platforms (desirable). Strong Python programming skills and ML pipeline integration knowledge. Solid understanding of machine learning concepts within operational automation. Practical experience with Generative AI and POC development. Experience integrating APIs, enterprise systems, and data services into automation workflows. Familiarity with modern data platforms such as Databricks (desirable). Understanding of deployment, orchestration, monitoring, and optimisation of automation assets.
Experience & Qualifications
5–8+ years’ experience in Intelligent Automation, RPA, Data Science, AI Engineering, or related disciplines. Proven experience delivering and productionising automation solutions in enterprise environments. Experience integrating machine learning models into automated workflows. Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or similar. UiPath certification (highly desirable).
Ways of Working
Pragmatic mindset balancing technical excellence with outcome delivery. Comfortable working from innovation pilots through to enterprise rollout. Strong commercial awareness and focus on measurable business impact. Excellent communication and stakeholder engagement skills. Curious, improvement-oriented mindset with a bias toward automation-first thinking.