AI Engineering Enablement Expert
The Role:
We are looking for a Software Development AI Technical Expert to serve as the department’s designated AI specialist and lead the responsible evaluation, adoption and practical application of AI across Software Development and Software Quality Assurance.
The role will research emerging AI technologies, support experimentation and pilot projects, and translate successful solutions into practical tools, standards and development practices. You will provide technical guidance on AI-enabled development, code quality, security, AI advocacy, capability building and impact measurement.
You will work closely with Software Development and Software Quality Assurance teams to develop practical, responsible and measurable AI-native ways of working that improve productivity, quality, security and innovation.
Benefit from:
- Attractive remuneration package and perks
- Intellectually stimulating work environment
- Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
- Show Your Skills – Online Technical Challenge
- Let’s Connect – Intro Chat with Talent Acquisition
- Deep Dive – First Interview with Your Future Team
- Final Connection – Final Interview
- BSc/MSc in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience.
- At least 7 years of experience in IT engineering roles, including experience in a managerial or leadership role within a Software Development team.
- Solid working knowledge of the modern AI landscape, including Large Language Models, AI agents, automation platforms, prompt engineering techniques and practical business applications.
- Demonstrated experience modernising or transforming software development lifecycles through AI tooling and automation.
- Deep understanding of modern SDLC practices, including CI/CD, DevOps and platform engineering, combined with hands-on experience with AI-powered development tools.
- Strong Machine Learning and AI background, with hands-on experience building, prototyping or deploying AI solutions.
- Experience contributing to governance frameworks covering quality assurance, security review or intellectual property considerations for AI-generated outputs.
- Solid understanding of IT engineering metrics and data-driven measurement of development performance.
- Exposure to AI or IT engineering maturity models and experience assessing team capabilities against defined frameworks.
- Experience evaluating technology vendors and AI tooling through trials, benchmarking and recommendations.
- Experience presenting to and working directly with senior or C-level stakeholders.
- Public speaking or conference presentation experience in AI or technology, with the ability to inspire technical and non-technical audiences.
- Innovative and curious mindset, with the ability to explore emerging technologies, challenge unsupported claims and identify practical applications.
- Proficiency in written and spoken English.
- Ability to work independently and collaboratively in fast-paced environments.
- Strong analytical and problem-solving skills.
- Strong organisational skills, with the ability to manage multiple initiatives and priorities.
- Willingness and ability to continuously learn and upskill.