AI Engineering Enablement Expert

O projekcie:
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
All applications will be treated with strict confidentiality!

Wymagania:
- 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.

Codzienne zadania:
- Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance, maintaining current knowledge of large language models, AI development tools, AI agents and emerging technologies.
- Research and benchmark AI applications, tools, vendors and industry practices, assessing their relevance, maturity, limitations, security and potential value to the organisation.
- Provide expert advice on the practical and technical application of AI across the Software Development Lifecycle, from requirements and design through coding, testing, deployment and monitoring.
- Explore, prototype and evaluate AI capabilities and use cases, defining clear objectives, success criteria, evaluation methods and recommendations.
- Contribute to AI pilots from concept through implementation and evaluation, identifying lessons learned, adoption requirements and opportunities for scaling successful solutions.
- Support the transition of approved AI tools and practices into Software Development and Software Quality Assurance, including AI code assistants, automated code review, AI-supported testing and intelligent CI/CD practices.
- Develop guidance, standards and best practices for the responsible use of AI and AI-generated code, covering quality assurance, security, data protection, intellectual property, maintainability and human oversight.
- Establish and monitor measures of AI effectiveness and impact, including output quality, reliability, usability, developer experience, cycle time, defect rates, deployment frequency, test coverage and rework.
- Assess the AI maturity of Software Development and Software Quality Assurance teams and recommend practical actions to improve organisational capability.
- Support cultural change, knowledge-sharing and upskilling through playbooks, prompt libraries, FAQs, onboarding materials, reusable templates, case studies and communities of practice.
- Collaborate with stakeholders across IT, the Group and other department