Hybrid P&C Engineer

at SafetyCulture

• Job title: P&C Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Location requirements: Hybrid, Sydney, Australia

About the role

• P&C Engineer building technical systems that power modern HR functions at SafetyCulture. Designing workflows, creating tools, and developing AI agents to support P&C scalability.

Responsibilities

• Define and execute SafetyCulture’s People AI & automation roadmap, identifying the highest-impact opportunity areas across the P&C function
• Partner with stakeholders (within P&C and beyond) to assess AI opportunity areas, define solution architecture, and deliver internal AI capabilities that scale the People team’s impact
• Develop end-to-end AI systems, including tooling/integration layers, skills management, prompt management, and workflow orchestration.
• Engineer and maintain production of AI solutions, owning delivery from prototype through to production operation
• Design, deploy and maintain AI agents and agentic workflows to support operations and decision-making
• Ensure AI systems are powered by clean, well-modelled and trustworthy people data, with strong intuition for AI failure modes and how to constrain systems for reliability.
• Collaborate with the People Systems Analyst to define and maintain a People systems roadmap aligned to SafetyCulture’s growth plans, including build vs buy vs integrate decisions as part of broader system architecture.
• Debug issues across data pipelines, integrations, automations and AI workflows, continuously improving reliability, scalability and efficiency.
• Collaborate with Security and Legal stakeholders to assess and manage risk associated with AI solutions, including data access, vendor assessment, and compliance requirements
• Apply working knowledge of privacy principles as they apply to People data and AI systems.
• Partner with cross-functional stakeholders (e.g. IT, Security, Finance, Commercial Operations, Engineering) to validate solution fit and deliver initiatives that span team boundaries.
• Develop enablement materials and support adoption of new tools and systems across P&C and the broader business.

Requirements

• Hands-on experience designing and implementing end-to-end AI-enabled solutions, including practical experience with LLMs, prompt engineering, RAG architectures, or AI orchestration/agent frameworks in a production environment.
• Demonstrated experience building and deploying AI agents and multi-step agentic workflows in production environments.
• Comfort with engineering fundamentals such as version control, testing and deployment practices
• Hands-on experience designing and implementing workflow automations across systems, including use of low-code/no-code automation tools.
• Strong working knowledge of systems architecture, integrations and scalable system design. Familiarity with HRIS platforms (e.g. HiBob) is considered a plus.
• Track record of identifying process inefficiencies and implementing improvements that increase efficiency and scalability.
• Proven experience building dashboards and data products to generate clear, actionable insights for stakeholders.
• Understanding of how data flows across interconnected systems, thinking in end-to-end workflows rather than isolated tools.
• Working knowledge of privacy principles as they apply to People data and AI systems.
• Demonstrated experience partnering with cross-functional stakeholders (e.g. IT, Security, Finance, Engineering) to deliver technical initiatives.
• Experience in a P&C/HR context is preferred but not required.
• Automation-first: You treat manual work as a temporary state and default to building systems that eliminate it.
• Ownership-oriented: You default to action and take end-to-end responsibility for delivery, from prototype to production operation.
• Systems thinker: You optimise the whole, not the parts — considering downstream impacts of schema, logic or automation changes.
• Pragmatic: You balance speed with long-term reliability, focused on outcomes over demos.
• Strong communicator: Able to translate technical concepts for non-technical audiences and develop adoption-focused enablement materials.
• High ambiguity tolerance: Comfortable working with messy inputs and translating unclear business questions into well-structured technical solutions.
• Collaborative: Strong stakeholder influence and management skills, with a track record of delivering across team boundaries.

Benefits

• Equity with high growth potential, and a competitive salary
• Flexible working arrangements, we encourage you to create the best work blend while working from your home and the local SafetyCulture office
• Access to professional and personal training and development opportunities
• Hackathons, Workshops, Lunch & Learns
• We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies
• In-house Culinary Crew serving up daily breakfast, lunch and snacks
• Barista coffee machine, craft beer on tap, boutique wines and a range of non-alcoholic beverages
• Wellbeing initiatives such as subsidised fitness programs, EAP services and generous parental leave policy
• Quarterly celebrations and team events, including the annual Shiplt global offsite
• On-site gym, table tennis, board games, books library, and pet-friendly offices