20 Oct
|
BusinessAI
|
Melbourne
20 Oct
BusinessAI
Melbourne
Location: South MelbourneReports to: Director of AI & ProductLead the engineering function of one of Australia's fastest-growing AI automation companies, building scalable AI solutions that deliver real business impact.Competitive executive salary + performance incentivesHands-on leadership role with direct influence on company growthOpportunity to shape the technical roadmap, delivery systems, and engineering culture from the ground upAbout The CompanyBusinessAI is Australia's first full-service AI automation partner, helping small and medium businesses unlock efficiency, growth, and scale through practical AI solutions.Specialises in AI education, automation strategy, and implementationBuilds AI agents and automation systems that deliver measurable commercial outcomesFocused on turning AI potential into real-world business executionBacked by experienced operators with strong growth momentumDriven by innovation, customer outcomes, and operational excellenceAbout The RoleThis is a full-time Head of Engineering role leading BusinessAI's engineering capability across delivery, systems architecture, team leadership, and technical strategy.Lead engineering delivery across customer and internal AI solutionsBuild and mentor a high-performing engineering teamDesign scalable frameworks, accelerators, and reusable AI componentsWork directly with the Director of AI on roadmap execution and technical strategyAct as the senior technical authority in customer-facing engagementsYou will operate as a true player-coach, combining hands-on engineering with leadership, commercial input,
and strategic decision-making.What You'll DoLead engineering delivery across customer engagements and internal platform developmentWrite code, prototype solutions, and establish engineering best practicesDesign and deliver AI agents, automation systems, APIs, and orchestration frameworksBuild scalable delivery models that improve speed, quality, and marginManage and mentor engineering talent across onshore and offshore teamsImplement engineering standards including TDD, CI/CD, and scalable deployment practicesPartner with consulting and sales teams during solution scoping and customer workshopsTranslate business challenges into commercially viable technical solutionsDevelop reusable technical IP, frameworks, and accelerators that strengthen competitive advantageEnsure engineering quality, governance, reliability, and consistency across all delivered solutionsSkills & ExperienceWe are looking for a highly capable engineering leader with deep technical expertise and strong commercial awareness.8+ years of hands-on software engineering experienceProven leadership experience managing engineering teams in SaaS or AI environmentsDemonstrated success delivering production-grade solutions to external customersStrong expertise across modern AI/ML stacks including LLMs, agent frameworks, retrieval systems,
and orchestration patternsAdvanced Python experience with robust API development capabilities across REST and GraphQLExperience implementing TDD and CI/CD practices across engineering teamsWorking knowledge of modern front-end frameworks such as React, Vue, or Next.jsStrong communication and stakeholder management skillsCommercial mindset with the ability to contribute to scoping, pricing, and solution design discussionsComfortable operating in fast-paced, high-growth startup environmentsCultureHigh-performance, execution-focused environmentStrong emphasis on ownership, accountability, and innovationDirect collaboration with senior leadership and strategic decision-makersFast-moving startup culture with significant growth opportunitiesFocused on practical AI outcomes and measurable customer impactBenefitsCompetitive executive salary packagePerformance incentives tied to delivery and business growthDirect influence over technical strategy and engineering standardsOpportunity to build and shape the engineering function from an early stageExposure to cutting-edge AI technologies and enterprise implementationsCollaborative environment with strong leadership supportClear pathway toward long-term leadership and equity growth opportunitiesKey Success MetricsOn-time and on-margin delivery of customer engagementsEngineering quality and customer satisfaction outcomesScalability and efficiency improvements across delivery systemsTeam capability, retention, and engineering performanceGrowth and leverage of reusable technical IP and frameworksConsistency and reliability of solutions delivered under the BusinessAI brandClick APPLY to join the BusinessAI team.
#J-*****-Ljbffr
📌 Head Of Engineering - Ai Automation & Growth (Melbourne)
🏢 BusinessAI
📍 Melbourne