At a Glance
- Tasks: Lead AI architecture and develop innovative AI solutions from concept to deployment.
- Company: Join a forward-thinking company investing heavily in AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a chance to influence AI strategy and drive innovation.
- Why this job: Shape the future of AI while working on exciting, hands-on projects.
- Qualifications: Strong C#/.NET background with experience in AI solutions and cloud technologies.
The predicted salary is between 80000 - 100000 £ per year.
This role is for you if you’re someone who enjoys solving complex problems, building AI-powered solutions, modernising established platforms and seeing ideas through from concept to deployment. I'm currently working with a client who is investing heavily in Artificial Intelligence and looking to appoint an experienced AI Architect to help shape and deliver their AI strategy. This is a genuinely exciting opportunity for someone who comes from a strong C#/.NET background and has evolved into AI architecture whilst remaining hands-on with development. We aren’t looking for a pure strategist; we need someone who enjoys getting involved in the technical delivery, building proof of concepts, validating ideas and implementing production-ready AI solutions.
The Role
- Defining AI architecture and technical direction across the organisation
- Developing scalable backend services using C# and .NET
- Modernising legacy .NET applications and identifying opportunities for AI adoption
- Building Proof of Concepts (PoCs) to evaluate emerging AI technologies and business opportunities
- Designing and delivering enterprise-scale AI solutions from concept through to production
- Working extensively with Azure AI services and cloud-native technologies
- Integrating Large Language Models (LLMs) into existing and new applications
- Designing Retrieval-Augmented Generation (RAG) solutions and intelligent knowledge systems
- Establishing best practice around AI governance, security and scalability
Experience required
- Strong commercial experience with C# and .NET development
- Experience designing and implementing AI solutions in a commercial environment
- A blend of architecture expertise and hands-on software engineering capability
- Proven experience delivering Proof of Concepts and taking successful initiatives into production
- Strong Azure cloud experience
- Experience modernising legacy applications and driving technical transformation
- Excellent stakeholder management and communication skills
- Passion for emerging technologies and practical AI adoption
Apply now if you want a role that offers the opportunity to influence that direction from the ground up, working on genuinely innovative projects whilst remaining close to the technology.
Head of Artificial Intelligence employer: Candour
Join a forward-thinking organisation that prioritises innovation and employee development, particularly in the realm of Artificial Intelligence. As the Head of AI, you will be part of a collaborative work culture that encourages hands-on involvement in cutting-edge projects, offering ample opportunities for professional growth and the chance to shape the future of AI solutions. Located in a vibrant tech hub, this role not only provides competitive benefits but also immerses you in an environment where your contributions directly impact the company's AI strategy and success.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Artificial Intelligence
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving C# and .NET. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and being ready to discuss your hands-on experience with AI solutions. Be ready to share examples of your work, especially any Proof of Concepts you've developed.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Head of Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of AI and Automation role. Highlight your C#/.NET background and any hands-on AI projects you've worked on. We want to see how you’ve tackled complex problems and delivered innovative solutions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your experience makes you the perfect fit for this role. Don’t forget to mention specific projects or technologies that excite you, especially those related to Azure and AI architecture.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in AI solutions and cloud technologies. We love seeing proof of concepts you've built or legacy applications you've modernised. This is your opportunity to demonstrate your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Candour
✨Know Your Tech Inside Out
Make sure you’re well-versed in C# and .NET, as these are crucial for the role. Brush up on your knowledge of AI architecture and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using AI solutions. Be ready to explain your thought process and the steps you took to build proof of concepts or modernise legacy applications.
✨Familiarise Yourself with Azure AI Services
Since the role involves working extensively with Azure, make sure you understand its AI services. Be prepared to discuss how you’ve integrated these services into your projects and the impact they had.
✨Communicate Effectively
Strong stakeholder management is key. Practice articulating your ideas clearly and concisely, especially when discussing technical concepts. This will help demonstrate your communication skills and ability to work collaboratively.