At a Glance
- Tasks: Design and develop cutting-edge AI solutions for the banking sector.
- Company: Join a purpose-led team transforming AI in finance.
- Benefits: Hybrid work, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with top engineers in a dynamic, supportive environment.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in AI solutions and strong technical skills required.
The predicted salary is between 60000 - 80000 € per year.
Join a purpose-led transformation programme delivering cutting-edge AI solutions within the Banking and Financial Services sector. This opportunity offers the chance to work on innovative enterprise AI initiatives alongside highly skilled engineers, architects, and data specialists.
It means more:
- To work on large-scale enterprise AI transformation projects.
- To contribute to advanced Generative AI and Agentic AI initiatives.
- To collaborate within a high-performing AI Centre of Enablement environment.
The Role
We are seeking an experienced AI Specialist to support complex AI initiatives across solution design, development, deployment, and optimisation activities. Working within an AI Centre of Enablement, you will provide deep technical expertise across Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), and enterprise AI delivery. This role requires a strong hands-on technical background combined with the ability to guide best practices and support enterprise-scale AI adoption.
Key Responsibilities
- Design and develop advanced AI solutions using LLMs, RAG architectures, and automation workflows.
- Deliver scalable AI capabilities across enterprise environments within the Microsoft AI ecosystem.
- Support AI model optimisation, data readiness, and performance enhancement activities.
- Develop reusable AI assets including prompt libraries, templates, connectors, and frameworks.
- Support MLOps, AI governance, lifecycle management, and responsible AI practices.
- Provide technical leadership and mentorship across AI delivery teams.
- Collaborate with AI Product Developers, Analysts, Architects, and stakeholders across the organisation.
Essential Skills & Experience
- Strong experience designing and implementing AI solutions.
- Hands-on expertise with Generative AI and Agentic AI technologies.
- Experience with RAG frameworks and LLM integrations.
- Strong understanding of Microsoft AI ecosystem technologies.
- Experience with enterprise AI architecture and automation workflows.
- Knowledge of data science, model optimisation, and ML fundamentals.
- Exposure to MLOps and responsible AI governance practices.
- Strong stakeholder engagement and technical leadership experience.
Artificial Intelligence Specialist in Leeds employer: Queen Square Recruitment
Join a forward-thinking organisation that prioritises innovation and employee development in the heart of Leeds/Bradford. As an AI Specialist, you will be part of a dynamic team dedicated to delivering transformative AI solutions within the Banking and Financial Services sector, all while enjoying a hybrid work model that promotes work-life balance. With access to cutting-edge technology and opportunities for professional growth, this role offers a unique chance to make a meaningful impact in a collaborative and high-performing environment.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Specialist in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and join online forums. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Generative AI and RAG frameworks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and best practices in AI. Be ready to discuss your hands-on experience and how you've contributed to enterprise-scale AI initiatives.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities in the AI space, and applying directly can give you an edge over other candidates.
We think you need these skills to ace Artificial Intelligence Specialist in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Specialist role. Highlight your experience with Generative AI, Agentic AI, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our purpose-led transformation programme. Keep it engaging and relevant to the role.
Showcase Your Technical Skills:In your application, don’t forget to showcase your hands-on expertise with LLMs and RAG architectures. We’re looking for someone who can hit the ground running, so make sure we see your technical chops!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Queen Square Recruitment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI, Agentic AI, and RAG frameworks. Be ready to discuss specific projects you've worked on and how you've implemented these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex AI initiatives you've tackled. Think of examples where you designed, developed, or optimised AI solutions. Highlight your hands-on experience and how you overcame challenges during these projects.
✨Understand the Microsoft AI Ecosystem
Since this role involves working within the Microsoft AI ecosystem, familiarise yourself with its tools and technologies. Be prepared to discuss how you've used these in past projects and how they can be leveraged for enterprise AI delivery.
✨Engage with Stakeholders
Demonstrate your ability to collaborate with various teams. Prepare examples of how you've engaged with stakeholders, provided technical leadership, and mentored others in AI delivery. This will show your capability to work in a high-performing environment.
