Head of AI Engineering&Platform Innovation, Vienna

Overview

Lead 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 incentives Hands‑on leadership role with direct influence on company growth Opportunity to shape the technical roadmap, delivery systems, and engineering culture from the ground upAbout the company

BusinessAI 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 implementation Builds AI agents and automation systems that deliver measurable commercialoutcomesFocused on turning AI potential into real‑world business execution Backed by experienced operators with strong growth momentum Driven by innovation, customer outcomes, and operational excellence About the role

This 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 solutions Build and mentor a high‑performing engineering team Design scalableframeworks, accelerators, and reusable AI componentsWork directly with the Director of AI on roadmap execution and technical strategy Act as the senior technical authority in customer‑facing engagements What you’ll do

Lead engineering delivery across customer engagements and internal platform development Write code, prototype solutions, and establish engineering best practices Design and deliver AI agents, automation systems, APIs, and orchestration frameworks Build scalable delivery models that improve speed, quality, and marginManage and mentor engineering talent across onshore and offshore teams Implement engineering standards including TDD, CI/CD, and scalable deployment practices Partner with consulting and sales teams during solution scoping and customer workshops Translate business challenges into commercially viable technical solutionsDevelop reusable technical IP, frameworks, and accelerators that strengthen competitive advantage Ensure engineering quality, governance, reliability, and consistency across all delivered solutions Skills&experience

We are looking for a highly capable engineering leader with deep technical expertise and strong commercial awareness. 8+ years of hands‑on software engineering experience Proven leadership experience managing engineering teams in SaaS or AI environments Demonstrated success delivering production‑grade solutions to external customersStrong expertise across modern AI/ML stacks including LLMs, agent frameworks, retrieval systems, and orchestration patterns Advanced Python experience with strong API development capabilities across REST and GraphQL Experience implementing TDD and CI/CD practices across engineering teams Working knowledge of modern front‑end frameworks such as React, Vue, or Next.jsStrong communication and stakeholder management skills Commercial mindset with the ability to contribute to scoping, pricing, and solution design discussions Comfortable operating in fast‑paced, high‑growth startup environments Culture

High‑performance, execution‑focused environment Strong emphasis on ownership, accountability, and innovation Direct collaboration with senior leadership and strategic decision‑makers Fast‑moving startup culture with significant growth opportunities Focused on practical AI outcomes and measurable customer impactCompetitive executive salary package Performance incentives tied to delivery and business growth Direct influence over technical strategy and engineering standards Opportunity to build and shape the engineering function from an early stage Exposure to cutting‑edge AI technologies and enterprise implementationsCollaborative environment with strong leadership support Clear pathway toward long‑term leadership and equity growth opportunities Key Success Metrics

On‑time and on‑margin delivery of customer engagements Engineering quality and customer satisfaction outcomes Scalability and efficiency improvements across delivery systems Team capability, retention, and engineering performance Growth and leverage of reusable technical IP and frameworks Consistency and reliability of solutions delivered under the BusinessAI brandClick

APPLY

to join the BusinessAI team.

#J-18808-Ljbffr