Who Are We
Hansen (ASX: HSN) is a global provider of software and services to the communications, media, energy, and utilities industries. Supporting more than 600 customers across 80+ countries, our platforms power critical business processes—from customer engagement and revenue management to product innovation and service delivery.
Today, the software industry is entering its next major evolution. AI is fundamentally changing how software is designed, developed, tested, and operated. At Hansen, we are embracing that shift and investing in the transformation from traditional software engineering to AI-first engineering.
This role sits at the centre of that journey.
Why This Role Matters
Transform Engineering. Shape the Future. Build the AI-Native Software Organization.
As our AI-First Engineering Transformation Lead, you'll be responsible for helping Hansen redefine how software is built across our Communications & Media portfolio. Working closely with the Office of the CTO, engineering leaders, architects, and development teams, you'll drive the transition from traditional development practices toward AI-native engineering workflows.
We're looking for someone who combines deep technical credibility with the ability to lead organizational change. You'll operate as a player-coach, working directly with engineering teams while influencing leaders across the organization to adopt new ways of working.
Your impact will be measurable through improved developer productivity, faster delivery cycles, higher software quality, and the successful adoption of AI-powered engineering practices across Hansen.
What You'll Do
Lead Hansen's AI-First Engineering Transformation
- Drive the evolution from traditional SDLC practices to AI-first software development
- Define and implement scalable AI-enabled engineering workflows and operating models
- Establish repeatable patterns for AI-assisted and AI-native software development
- Partner with engineering leadership to embed AI into everyday engineering practices
Work Hands-On with Engineering Teams
- Operate as a player-coach alongside developers, architects, and technical leaders
- Implement and optimize tools such as GitHub Copilot Enterprise, Claude Code, and emerging AI engineering platforms
- Build reference implementations, prototypes, and proof-of-concepts that showcase best practices
- Identify opportunities to automate engineering activities across the software lifecycle
Accelerate AI Adoption Across the Organisation
- Foster an AI-first mindset within engineering teams
- Coach engineers on the transition from AI-assisted development to AI-native engineering
- Create training programs, playbooks, frameworks, and enablement materials
- Act as a trusted advisor to engineering leaders and teams throughout the transformation journey
Establish Engineering Standards & Governance
- Define engineering guardrails for responsible AI adoption
- Develop best practices around:
- Code quality and validation
- Security and IP protection
- Compliance, auditability, and traceability
- Collaborate with architecture and platform teams to integrate AI capabilities into core engineering ecosystems
Measure and Scale Success
- Define and monitor key transformation KPIs, including:
- AI tool adoption rates
- Developer productivity improvements
- Development cycle time reduction
- Software quality metrics
- Use measurable outcomes to continuously improve tooling, processes, and ways of working
What You Bring
- Experience implementing AI-first or AI-native engineering models
- Proven experience leading engineering transformation initiatives at scale
- Strong software engineering background with hands-on technical credibility
- Practical experience with AI-powered development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms
- Deep understanding of modern engineering practices including Agile, DevOps, CI/CD, cloud-native architectures, and platform engineering
- Experience driving change, influencing stakeholders, and introducing new engineering ways of working
- Strong communication skills with the ability to engage engineers, architects, and executive leadership alike
- Solid understanding of large language models (LLMs), AI capabilities, and their practical application within software development
Nice to Have
- Background within enterprise SaaS, OSS/BSS, telecom, media, or large-scale software environments
- Experience developing engineering frameworks, operating models, or transformation programs
- Knowledge of AI governance, compliance, and secure software development practices
What Makes You Successful
You are someone who:
- Thrives on transforming how teams build software
- Leads through action, not PowerPoint
- Combines strategic thinking with hands-on execution
- Questions existing practices and continuously seeks better ways of working
- Focuses on outcomes and measurable impact
- Inspires teams to embrace change rather than resist it
- Sees AI not as a tool, but as a new operating model for engineering
Why Join Hansen?
This is a opportunity to help define what AI-first software engineering looks like inside a global technology organisation.
Rather than joining an established transformation, you'll help build it!
If you're excited by the challenge of combining engineering excellence, AI innovation, and large-scale transformation, we'd love to hear from you.
Skills Required
- Experience implementing AI-first or AI-native engineering models
- Proven experience leading engineering transformation initiatives at scale
- Strong software engineering background with hands-on technical credibility
- Practical experience with AI-powered development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms
- Deep understanding of modern engineering practices including Agile, DevOps, CI/CD, cloud-native architectures, and platform engineering
- Experience driving change, influencing stakeholders, and introducing new engineering ways of working
- Strong communication skills with the ability to engage engineers, architects, and executive leadership
- Solid understanding of large language models (LLMs), AI capabilities, and their practical application within software development
- Background within enterprise SaaS, OSS/BSS, telecom, media, or large-scale software environments
- Experience developing engineering frameworks, operating models, or transformation programs
- Knowledge of AI governance, compliance, and secure software development practices
What We Do
Hansen Technologies (ASX:HSN) is a global software and services provider to the energy, water/utilities and telecommunications industries. The company currently serves more than 600 customers in over 80 countries, supported by a collaborative and diverse team that embraces the hybrid way of working. For connection and collaboration, we have more than 36 offices and development centres located around the world. Within the communications industry, 5G represents the next new frontier for our customers – that unchartered territory to create opportunities and capitalise on new business models and resulting revenue streams. In the energy sector, we are in the midst of a transition. The move to renewables and self-generated energy changes the traditional commercial model. Today, our customers are no longer in the era of supplying basic commodity services - they are in era of providing new energy services and related experiences. We help our customers traverse these challenges and opportunities and realise the next new monetisable experiences. And that is why our mission is to provide industry-specific software products and expertise that enables our customers to easily capitalise on the commercial opportunities of the evolving energy, utilities and communications markets. We make this possible by providing highly reliable, mission-critical software and specific industry expertise to help our customers more easily innovate and sell new services and market offerings, comply with changing market regulation, and power new business models in areas such as emerging sustainable energy supply, IoT, and new next-generation connected services. We aim to achieve this through long term collaboration with our customers and partners and through a global workforce of skilled professionals that embrace challenges and are committed to positive outcomes for our company, employees, customers, and the planet
