About this role
Are you passionate about building cutting-edge AI solutions that create real business impact? Join a forward-thinking organisation where you'll work with the latest AI technologies, Large Language Models, Azure AI services, and Microsoft's digital ecosystem to drive innovation and transform business operations. This is an exciting opportunity for an experienced AI Engineer to play a key role in designing, developing, and deploying intelligent solutions that solve complex business challenges. You'll work closely with business stakeholders, digital transformation teams, and IT professionals to identify valuable AI use cases and deliver scalable, secure, and innovative solutions. You'll have the opportunity to work across a wide range of AI initiatives, including Generative AI, Machine Learning, Predictive Analytics, Intelligent Document Processing, Computer Vision, and Conversational AI. You'll be empowered to lead proof-of-concepts, drive enterprise-wide AI adoption, and influence the organisation's AI strategy. If you're looking to work on impactful projects using the latest Microsoft AI technologies while shaping the future of business innovation, this role is for you. Key Responsibilities: Design, develop, deploy, and support AI and Machine Learning solutions within a production environment. Build and optimise Large Language Model (LLM) solutions, including RAG, prompt engineering, embeddings, vector databases, and AI agents. Integrate AI capabilities into Microsoft Power Platform solutions, Azure services, and existing business applications. Develop AI-driven reporting, forecasting, anomaly detection, and intelligent automation solutions. Implement MLOps practices, including model monitoring, CI/CD pipelines, version control, and model governance. Collaborate with business stakeholders to identify and prioritise AI opportunities that deliver measurable business value. Ensure AI solutions align with security, governance, compliance, and Responsible AI principles. Produce solution architecture documentation, technical guides, and operational support documentation. Job Experience and Skills Required: Relevant Degree or Diploma in Computer Science, Data Science, Artificial Intelligence, Information Systems, Engineering, or a related field. Minimum 3 years' experience in AI Engineering, Machine Learning Engineering, Data Science, or AI-enabled solution development. Proven experience designing and deploying Generative AI and LLM-based solutions in production environments. Strong Python development skills with experience using frameworks such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, or Semantic Kernel. Hands-on experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, and Azure AI Foundry. Experience with Microsoft Power Platform including Power Apps, Power Automate, Power BI, Dataverse, AI Builder, and Copilot Studio. Solid understanding of SQL, APIs, data pipelines, structured and unstructured data processing. Experience with Git, CI/CD, MLOps, cloud deployment, and AI governance principles. Strong communication skills with the ability to translate technical concepts into business solutions. Valid passport and willingness to travel when required. Apply now! For more exciting IT vacancies, please visit our website. I also specialise in recruiting in the following: Artificial Intelligence Machine Learning Generative AI Azure AI Azure OpenAI AI Engineering Data Science MLOps Large Language Models (LLM) Retrieval-Augmented Generation (RAG) Computer Vision Intelligent Document Processing Power Platform Copilot Studio Azure Machine Learning AI Automation Data Engineering Cloud Engineering Python Development AI Solutions Architecture If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information, contact: Frankie Deppe Recruitment Consultant Connect with me on LinkedIn!