AI Engineer The Role We're seeking a Senior AI Engineer / Senior Data Scientist to design, build and deliver intelligent, agent-based AI solutions on the Microsoft stack, including Azure and Microsoft AI Foundry. This is a highly applied, individual contributor role where you'll work deeply in code, transforming complex business problems into safe, governed, and scalable AI products that deliver real-world impact across critical service Key Responsibilities Design, build and maintain agentic AI solutions, including single- and multi-agent systems using LLMs, tools, memory and workflows. Develop production-ready AI systems using strong software engineering and data science practices, including clean, maintainable code, APIs and integrations. Build AI agents capable of reasoning, planning, tool use and reflection, leveraging governed tool interfaces and Model Context Protocol (MCP)-style patterns. Deliver PoCs, pilots and production solutions on the Microsoft stack (Azure, Microsoft AI Foundry), from ideation through to operational deployment. Translate complex business problems into agent-enabled AI solutions, defining success criteria, evaluation approaches and measurable outcomes. Contribute to AI safety, governance and assurance, including LLM evaluation, monitoring, logging and human-in-the-loop controls. Produce clear technical and non-technical documentation covering architecture, design decisions, trade-offs, risks and outcomes. Skills & Experience Essential 5 years' experience across data science, machine learning, AI and/or software engineering roles. Strong hands-on coding experience in Python (and R where appropriate), including Git, CI/CD and modern build and deployment practices. Practical experience building LLM-enabled systems, including prompt engineering, RAG, tool calling, MCP-based (or equivalent) agent integration patterns and agent frameworks. Demonstrated experience designing and implementing agentic workflows, such as task decomposition, planning, memory management and orchestration. Strong understanding of software design patterns, creating clean abstractions and reusable components suitable for production environments. Excellent debugging and problem-solving skills, with the ability to trace complex behaviours across data, models, agents and external systems. Proven ability to translate complex business problems into well-structured AI or analytics solutions, from concept through to delivery. Experience building end-to-end AI/ML systems using cloud and data platforms (e.g. Azure ML, VMs, APIs, data stores), including deployment and monitoring. Experience working with structured and unstructured data (SQL, CSV, JSON, APIs, documents, logs, etc.). Strong communication and documentation skills, with the ability to engage stakeholders of varying technical literacy. Ability to independently decompose ambiguous problems and deliver outcomes using creativity, experimentation and sound engineering judgement. Tertiary qualification in Computer Science, Software Engineering, Data Science or a related discipline (or equivalent experience). What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career. 2992239