At a Glance
- Tasks: Design and develop cutting-edge AI solutions for the banking sector.
- Company: Join a purpose-driven team transforming AI in finance.
- Benefits: Remote work flexibility, competitive pay, and professional growth opportunities.
- Other info: Collaborative environment with mentorship and career advancement.
- 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.
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.
Travel Specialist - Remote Working in Leeds employer: Queen Square Recruitment
As a Travel Specialist at our company, you will be part of a dynamic and innovative team dedicated to delivering cutting-edge AI solutions in the Banking and Financial Services sector. We pride ourselves on fostering a collaborative work culture that values employee growth and development, offering numerous opportunities for professional advancement while working remotely. Join us to contribute to transformative projects that not only enhance your skills but also make a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Travel Specialist - Remote Working in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working in companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This is your chance to demonstrate your hands-on expertise with Generative AI and RAG frameworks, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and best practices in AI. Be ready to discuss your experience with Microsoft AI technologies and how you've contributed to enterprise-scale AI initiatives.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our purpose-led transformation programme. Plus, it shows you're proactive and keen to be part of our team!
We think you need these skills to ace Travel Specialist - Remote Working in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Specialist. 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 personal – we love a good story!
Showcase Your Technical Skills:In your application, don't forget to showcase your hands-on technical expertise. Mention specific tools, frameworks, and methodologies you've used in past projects. We’re looking for someone who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications 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 share examples of how you've tackled complex AI challenges in the past. Think about times when you optimised models or improved performance, and be ready to explain your thought process.
✨Engage with Stakeholders
Since this role involves collaboration with various teams, practice how you would communicate technical concepts to non-technical stakeholders. Highlight your experience in stakeholder engagement during the interview.
✨Demonstrate Leadership Qualities
Be prepared to discuss your experience in providing technical leadership and mentorship. Share examples of how you've guided teams in best practices for AI delivery and governance.
