AI Engineering Enablement Expert

• 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.

,[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] Requirements: AI