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 rapid-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 e

📌 Head of Engineering (Melbourne)
🏢 BusinessAI
📍 Melbourne