Location:South Melbourne
Reports to:Director of AI & Product
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 up
About 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 commercial outcomes
Focused 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 scalable frameworks, accelerators, and reusable AI components
Work directly with the Director of AI on roadmap execution and technical strategy
Act as the senior technical authority in customer-facing engagements
You will operate as a true player-coach, combining hands-on engineering with leadership, commercial input, and strategic decision-making.
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 margin
Manage 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 solutions
Develop 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 customers
Strong 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.js
Strong 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 impact
Benefits
Competitive executive salary package
Performance incentives tied to delivery and business growth
Direct influence over technical strategy and engineering standards
Chance to build and shape the engineering function from an early stage
Exposure to cutting-edge AI technologies and enterprise implementations
Collaborative 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 brand
#J-*****-Ljbffr

📌 Head Of Engineering (Victoria)
🏢 BusinessAI
📍 Victoria