AI-First Engineering Transformation Lead

Who Are WeHansen (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 DoLead 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 Git Hub 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 Git Hub Copilot, Claude Code, Cursor, or similar platforms

Deep understanding of modern engineering practices including Agile, Dev Ops, 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 Power Point 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 itSees 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…