At a Glance
- Tasks: Shape AI use cases and design innovative workflows to enhance business outcomes.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on responsible AI principles.
- Why this job: Make a real impact by designing AI solutions that improve user experiences.
- Qualifications: Experience with Copilot and a background in AI or related fields required.
The predicted salary is between 60000 - 80000 £ per year.
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.
- Support experimentation, prototyping and MVP definition with delivery teams.
- Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all designs.
- Engage with colleagues across the business to capture user perspectives, refine user needs, and ensure solutions align to real operational challenges and behaviours.
- 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 re-usable assets to support repeatability and uplift design maturity across the AI Foundry.
- Manage escalations supporting the wider Data & AI Leadership team.
Mandatory Requirements
- Hands-on experience with Copilot.
- Ability to translate business challenges into practical AI designs.
- Solid, hands-on experience within the Microsoft ecosystem, specifically: Building and integrating agents within Copilot Studio, leveraging PowerApps, Dataverse, Fabric, and Azure, and utilizing 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.
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.
Ai Designer in Leeds employer: Infoplus Technologies UK Ltd
As an AI Designer at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. We offer exceptional employee growth opportunities through continuous learning and development, alongside a commitment to responsible AI principles that ensure your designs are impactful and ethical. Located in a vibrant area, our workplace fosters a sense of community and engagement, making it an excellent employer for those seeking meaningful and rewarding careers in the AI field.
Contact Details:
Infoplus Technologies UK Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Ai Designer in Leeds
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and design space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your hands-on experience with Copilot and other Microsoft tools. Include case studies of how you’ve tackled real business challenges with AI designs. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s projects and values. Understand their approach to responsible AI and be ready to discuss how you can contribute to their goals. Tailor your responses to show you’re the perfect fit for their team!
✨Tip Number 4
Don’t forget to follow up! After an interview, send a quick thank-you note to express your appreciation. It’s a simple gesture that keeps you on their radar and shows your enthusiasm for the role. Let’s land that job together!
We think you need these skills to ace Ai Designer in Leeds
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI design and the Microsoft ecosystem. We want to see how your skills align with the responsibilities listed in the job description.
Showcase Your Projects:Include specific examples of past projects where you've designed AI workflows or worked with Copilot. We love seeing tangible results, so mention any measurable success criteria you achieved!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see your qualifications!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Infoplus Technologies UK Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially LLMs and prompt engineering. Be ready to discuss how you've applied these in real-world scenarios, particularly within the Microsoft ecosystem.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated business challenges into practical AI designs. Think about specific projects where you assessed workflows and decision points to improve outcomes or customer experience.
✨Engage with Stakeholders
Demonstrate your excellent communication skills by discussing how you've collaborated with various teams. Highlight your experience in gathering user perspectives and refining needs to ensure solutions align with operational challenges.
✨Emphasise Responsible AI Principles
Be ready to talk about how you've incorporated responsible AI principles into your designs. Discuss your understanding of ethical considerations, compliance requirements, and how you've ensured transparency and fairness in your work.