At a Glance
- Tasks: Design and implement cutting-edge AI solutions while mentoring a dynamic team.
- Company: Join a forward-thinking organisation at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on responsible AI practices.
- Why this job: Make a real impact in the AI field and shape the future of technology.
- Qualifications: Experience in AI solution design and development, with a passion for innovation.
The predicted salary is between 60000 - 80000 € per year.
The AI Specialist is an expert practitioner responsible for delivering complex AI solutions across design, build, data science, and deployment activities. Operating within the AI Centre of Enablement, the role supports the AI Foundry delivery team by providing deep technical expertise and hands-on contribution to advanced AI initiatives. The role operates across multiple AI domains, including generative AI, agentic AI, and data-driven intelligence, ensuring solutions are robust, scalable, and responsibly deployed. Through technical leadership and specialist insight, the role accelerates the organisation’s ability to adopt and operationalise advanced AI capabilities.
Responsibilities
- Provide specialist technical expertise across AI solution design, development, and deployment, supporting complex and high impact AI initiatives.
- Design and implement advanced AI capabilities by contributing hands-on to solutions involving large language models, agentic architectures, Retrieval Augmented Generation (RAG), and automation workflows.
- Guide solution patterns and technical approaches by advising on best practices for generative AI, data-driven intelligence, and enterprise AI architectures within the Microsoft AI ecosystem.
- Support data science and model optimisation activities by assessing data readiness, evaluating model performance, and improving accuracy, consistency, and reliability of AI outputs.
- Develop reusable AI assets including prompt libraries, connectors, templates, and technical frameworks to accelerate delivery across the AI Foundry.
- Act as a technical authority and mentor by supporting AI Product Developers, AI Design Analysts, and AI Test Leads through guidance, coaching, and hands-on problem solving.
- Embed operational and responsible AI practices by supporting MLOps, monitoring, lifecycle management, and adherence to responsible AI principles and governance standards.
Required Skills
- AI Solution Design & Development
- Generative & Agentic AI Implementation
AI Specialist in Leeds employer: Gazelle Global
As an AI Specialist at our innovative organisation, you will thrive in a dynamic work culture that champions creativity and collaboration. We offer exceptional benefits, including professional development opportunities and a commitment to responsible AI practices, ensuring that your contributions have a meaningful impact. Located in a vibrant tech hub, our team is dedicated to pushing the boundaries of AI while fostering an inclusive environment where every voice is valued.
StudySmarter Expert Advice🤫
We think this is how you could land AI Specialist in Leeds
✨Tip Number 1
Network like a pro! Connect with folks in the AI field on LinkedIn or at local meetups. We can’t stress enough how important it is to build relationships; 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 data-driven intelligence. We love seeing hands-on experience, so make sure to highlight your contributions to complex AI initiatives.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI. We recommend diving into topics like large language models and MLOps. Being well-versed in these areas will help you stand out as a candidate who’s ready to hit the ground running.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who can contribute to our AI Foundry team.
We think you need these skills to ace AI Specialist in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI solution design and development. We want to see how you've tackled complex AI initiatives, so don’t hold back on those details!
Showcase Your Skills:In your cover letter, emphasise your expertise in generative and agentic AI. We’re looking for someone who can dive deep into technical challenges, so let us know how you’ve done this in the past.
Be Specific:When describing your previous projects, be specific about the technologies and methodologies you used. We love seeing hands-on contributions, especially with large language models and automation workflows.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application 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 Gazelle Global
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially around generative and agentic AI. Be ready to discuss specific projects you've worked on that showcase your expertise in AI solution design and development.
✨Showcase Your Hands-On Experience
Prepare to share examples of how you've contributed to complex AI initiatives. Highlight your experience with large language models, automation workflows, and any reusable AI assets you've developed. This will demonstrate your practical skills and technical authority.
✨Understand the Microsoft AI Ecosystem
Familiarise yourself with the Microsoft AI tools and frameworks. Being able to discuss best practices for enterprise AI architectures within this ecosystem will show that you're not just knowledgeable but also aligned with their operational standards.
✨Emphasise Mentorship and Collaboration
Since the role involves guiding others, be prepared to talk about your experience mentoring or coaching colleagues. Share how you've supported teams in problem-solving and improving AI outputs, as this will highlight your leadership qualities.
