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
- Opportunity 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
Click APPLY to join the BusinessAI team.
