AI Designer

6 Month contract initially. Based: 2-3 days onsite in Leeds/Bradford. Rate: £Market rates per day via Umbrella.

Key Responsibilities

• Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well defined proposals with clear value hypotheses and measurable success criteria.
• Engage with business teams to conduct deep analysis of business problems, workflows, processes and decision points to determine where AI can improve outcomes, efficiency or customer experience.
• Design AI enabled workflows, prompt patterns, user interactions and human in the loop models that maximise safety, transparency and user trust.
• Assess solution feasibility by evaluating data readiness, technical constraints, ethical considerations, compliance requirements and operational impacts.
• Map end to end processes, decision points, data dependencies and required human oversight.
• Assess feasibility, data readiness, ethical considerations and AI specific risks.
• Design AI enabled workflows, prompts and user experiences for Copilot scenarios.
• Support experimentation, prototyping and MVP definition with delivery teams.
• Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all designs.
• Support experimentation and prototyping by defining MVP scope, evaluation criteria, testing parameters and adoption-readiness indicators.
• Engage with colleagues across the business to capture user perspectives, refine user needs, and ensure solutions align to real operational challenges and behaviours.
• Ensure responsible AI principles are embedded from design, including explainability, traceability, fairness, appropriate safeguards and risk informed checks.
• Provide structured analysis to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums.
• Collaborate with teams to ensure designs are implementable, sustainable and aligned to enterprise architecture.
• Maintain a library of design artefacts, patterns and reusable assets to support repeatability and uplift design maturity across the AI Foundry.
• Managing escalations supporting the wider Data & AI Leadership team.

Key Skills & Experience

• Mandatory Requirement: Hands‑on experience with Copilot. Candidates should be able to translate business challenges into practical AI designs. It is essential that all candidates demonstrate solid, hands‑on experience within the Microsoft ecosystem, specifically:
• Building and integrating agents within Copilot Studio.
• Leveraging PowerApps, Dataverse, Fabric, and Azure.
• Utilising Foundry environments.
• Practical experience integrating agents, APIs, and associated components within these specific platforms.
• 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.

EEO Statement

We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.