Overview
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI-Native Software Engineering Director in Australia. In this role, you will lead the transformation of software engineering practices by embedding AI-native principles into how modern engineering teams design, build, test, and deliver software. You will focus on defining and operationalizing a new engineering model powered by AI-assisted development, agentic workflows, and data-driven experimentation. Rather than managing traditional delivery pipelines, you will shape the systems, standards, and practices that enable engineering teams to achieve step-change improvements in productivity, quality, and speed. You will design experiments across the software lifecycle, evaluate emerging AI tools, and translate successful approaches into scalable frameworks and playbooks. Working closely with engineering, QA, DevOps, and executive leadership, you will influence how AI is adopted responsibly and effectively across the organization. This is a strategic, high-impact role for a leader passionate about redefining the future of software engineering.
Accountabilities
Design, execute, and evaluate AI-native engineering experiments across development, testing, and delivery workflows
Identify and address engineering bottlenecks using AI-assisted tools, workflows, and automation strategies
Evaluate and implement emerging AI development tools, coding agents, and productivity platforms
Define and institutionalize AI-native engineering standards, practices, guardrails, and quality frameworks
Develop AI-enabled quality engineering approaches to improve testing, validation, code review, and production readiness
Establish metrics and measurement systems to assess productivity, quality, developer experience, and delivery performance
Analyze experimental outcomes and determine scalability, refinement, or retirement of practices
Create playbooks, frameworks, and enablement materials to standardize successful AI-native practices
Coach and support engineers and technical leaders in adopting AI-driven workflows and practices
Drive organization-wide adoption of AI-native engineering through influence, training, and continuous improvement loops
Define responsible AI usage policies for code generation, security, compliance, and maintainability
Partner with cross-functional and executive stakeholders to align AI transformation with business objectives
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
8+ years of hands-on software engineering experience building production-grade systems
Strong background in modern software engineering practices, including CI/CD, DevOps, testing, and cloud-native development
Experience using AI-assisted development tools, coding agents, or AI-powered engineering workflows in real production environments
Proven experience driving engineering transformation, developer productivity, or technical enablement initiatives
Experience designing and scaling experiments to improve engineering outcomes and organizational performance
Strong ability to define engineering metrics, interpret results, and drive data-informed decisions
Experience establishing engineering standards, quality frameworks, and operational best practices
Excellent coaching, mentoring, and change leadership skills across technical teams
Strong systems thinking with the ability to optimize complex engineering and organizational workflows
Ability to clearly communicate technical and strategic concepts to diverse audiences, including executives
Experience distinguishing durable engineering improvements from short-term technology trends
Benefits
Fully remote global work environment with flexible working hours and asynchronous collaboration
Opportunity to define AI-native engineering practices at organizational scale
Access to cutting-edge AI engineering tools and platforms for experimentation and innovation
Strong focus on professional growth, continuous learning, and career development support
Home office setup stipend to support remote productivity
Collaborative culture including virtual events, knowledge-sharing sessions, and community activities
Exposure to thought leaders and cutting-edge discussions in AI and software engineering
Inclusive, diverse, and mission-driven work environment
How Jobgether works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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