Artificial Intelligence Engineer

Essential skills/knowledge/experience:

Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field

• Proven experience working in digital, data or AI programmes in complex or regulated environments.
• Skilled at mapping processes, decision flows and user journeys to identify where AI, automation or Copilot can add value.
• Understanding of core AI concepts including LLMs, prompt engineering, automation, decision support and responsible AI.
• Experience assessing data quality, readiness, lineage and feasibility for AI‑enabled solutions.
• Ability to design end‑to‑end AI workflows including prompts, orchestration, guardrails and human‑in‑the‑loop models.
• Skilled in user research, facilitation, co‑design and requirements‑gathering workshops.
• Working knowledge of Copilot and Power Platform as well as Service Design/UX.
• Working knowledge of Microsoft Azure AI Fundamentals
• Excellent stakeholder management and communication skills, including senior‑level engagement.
• Commercial awareness and a value‑driven mindset.
• Familiarity with responsible AI and risk‑aware delivery practices.
• Familiarity with AI ethics, fairness, transparency and accountability principles
• Ability to translate complex technical and regulatory concepts into practical guidance
• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise
• Ability to be flexible and adaptable with the pace of technology and AI change

Desirable skills/knowledge/experience:

• Understanding of financial services industry, markets and competitors
• Understanding of how financial services organisations operate and the associated regulatory environment, or other regulated industries
• Awareness of the Mutual Sector and the needs and interests of Members