The AISpecialist will support the identification, evaluation, and implementation ofpractical AI solutions across the business. Working with business teams, IT,and external partners, the role will explore AI opportunities, assess availabletools and models, support pilot initiatives, and promote the responsible use ofAI. The role requires curiosity, strong research skills, and the ability tolearn and experiment. Coding knowledge is useful as a technical background forprototyping and solution assessment, but it is not the main focus of theposition.
Role & Responsibilities
AI Solutions & Innovation
- Explore AI tools,models, agents, and platforms and assess their relevance to business needs.
- Research andrecommend practical AI solutions that can improve productivity, quality,efficiency, or decision-making.
- Understandbusiness challenges and help translate them into clear AI use cases.
- Support thedevelopment, testing, and evaluation of small AI pilots and proofs of concept.
- Compare solutionsbased on usability, accuracy, security, integration, cost, and expectedbusiness value.
- Help configureand implement approved AI solutions using available platforms and tools.
- Work withdepartments to understand their processes, challenges, repetitive work, andimprovement opportunities.
- Stay up to datewith developments in AI tools, models, automation, and digital technologies.
- Support thesecure and responsible use of AI in line with company policies and approvedcontrols.
- Prepare cleardocumentation, user guides, presentations, and progress updates.
- Support AIawareness sessions, demonstrations, and knowledge-sharing activities across theorganization.
Business Engagement & AI Adoption
- Help departmentsidentify and document practical AI opportunities.
- Support theevaluation and prioritisation of use cases based on value, feasibility, dataavailability, risk, and effort.
- Gather userfeedback and help improve solutions during pilots.
- Explain AIcapabilities and limitations in clear business language.
- Encourageadoption of approved AI tools and responsible working practices.
- Support theplanning and coordination of AI initiatives and pilot projects.
- Track activities,timelines, deliverables, risks, and decisions.
- Coordinate withinternal teams, business owners, vendors, and external specialists whererequired.
- Help define pilotsuccess measures and monitor outcomes.
- Document lessonslearned and recommendations on whether a pilot should be improved, scaled, orstopped.
- Maintain clearand practical documentation for AI use cases, pilots, solutions, and userguidance.
- Prepare simpleprogress reports covering outcomes, issues, risks, and next steps.
- Follow companyrequirements for security, privacy, data protection, human review, andresponsible AI use.
- Continuouslyresearch and test new AI capabilities and share useful findings with the team.
- Build personalknowledge through practical experimentation, training, certifications, andindustry learning.
- Share knowledgethrough demonstrations, short guidance sessions, and reusable examples.
Candidate Requirements
- Goodunderstanding of modern AI tools, models, agents, and their practical businessapplications.
- Familiarity withtools such as Microsoft Copilot, ChatGPT, Claude, Gemini, Copilot Studio, PowerPlatform, or similar technologies.
- Strong interestin AI and the ability to research, explore, compare, and quickly learn newtechnologies.
- Good analytical,problem-solving, and experimentation skills.
- Ability tounderstand business processes and identify practical improvement opportunities.
- Goodcommunication and presentation skills, with the ability to explain AI in simplelanguage.
- Ability to workcollaboratively with technical and non-technical teams.
- Basicunderstanding of data, reporting, security, privacy, and responsible AI use.
- Gooddocumentation, organisation, and follow-up skills.
Technical Knowledge | Preferred
- Familiarity withMicrosoft 365, including Copilot, SharePoint, Power Automate, Power Apps,Teams, Power BI, and Copilot Studio.
- Ability tounderstand, test, and make minor changes to code where required.
- Understanding oflarge language models, prompting, AI agents, automation, data sources, andsystem integration.
- Experiencebuilding simple prototypes, automations, or AI-assisted solutions is anadvantage.
- Exposure toMicrosoft Azure or another cloud platform is beneficial.
- Experience withadvanced machine learning libraries such as TensorFlow or PyTorch is anadvantage, not a requirement.
Candidate Qualifications
- Bachelor’s degreein computer science, Information Systems, Artificial Intelligence, DataScience, Software Engineering, or a related field.
- Approximatelythree years of relevant experience in technology, AI, automation, software,digital solutions, or a related area.
- Practicalexperience using modern AI tools for research, productivity, prototyping, orbusiness improvement.
- Experiencesupporting technology initiatives, pilots, or cross-functional projects ispreferred.
- RelevantMicrosoft, AI, cloud, data, or automation certifications are an advantage.