At a Glance
- Tasks: Design and develop cutting-edge AI solutions in a collaborative environment.
- Company: Join a purpose-driven team transforming the Banking and Financial Services sector.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities 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.
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.
Tech Specialist - REMOTE in Leeds employer: Queen Square Recruitment
As a Tech Specialist at our innovative AI Centre of Enablement, you will be part of a purpose-driven team dedicated to transforming the Banking and Financial Services sector through cutting-edge AI solutions. We offer a collaborative work culture that fosters professional growth, with opportunities to engage in large-scale enterprise projects and develop advanced AI capabilities. Enjoy the flexibility of a hybrid working model while contributing to meaningful initiatives that truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Specialist - REMOTE in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those working in banking and financial services. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨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 and set you apart 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 hands-on experience and how you've contributed to AI initiatives in the past. Confidence is key!
✨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’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Tech Specialist - REMOTE in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on expertise with Generative AI and Agentic AI technologies, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of your work in AI transformation projects to grab our attention!
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical skills. Mention your experience with RAG frameworks, LLM integrations, and any tools within the Microsoft AI ecosystem that you’ve used.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 and the impact of your solutions.
✨Engage with Stakeholders
Since this role involves collaboration with various teams, practice how you'll communicate technical concepts to non-technical stakeholders. Highlight your experience in stakeholder engagement and how you've successfully led teams in previous roles.
✨Demonstrate Your Leadership
Be prepared to discuss your approach to mentoring and guiding others in AI delivery. Share specific instances where you've provided technical leadership and how it contributed to the success of your projects.
