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 excellent career advancement opportunities in a tech-driven environment.
- Why this job: Make a real impact by shaping AI strategy and working on cutting-edge projects.
- Qualifications: Strong C#/.NET background with hands-on AI solution experience.
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.
Team Head in Manchester employer: Candour
Join a forward-thinking organisation that prioritises innovation and employee development, particularly in the realm of Artificial Intelligence. As a Team Head, you will thrive in 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 allows you to influence strategic direction but also provides access to a network of like-minded professionals passionate about technology.
StudySmarter Expert Advice🤫
We think this is how you could land Team Head in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the AI and automation space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any proof of concepts you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and being ready to discuss your hands-on experience with C# and .NET. We want to see how you tackle real-world problems, so be ready to share examples!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Team Head in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of AI Architect. 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 explain why you're excited about this role and how your experience makes you the perfect fit. Don’t forget to mention your passion for AI and how you’ve contributed to similar projects in the past.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in Azure and AI technologies. We love seeing examples of your work, so if you have any Proof of Concepts or projects that demonstrate your skills, include them!
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 shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Candour
✨Know Your Tech Inside Out
Make sure you brush up on your C# and .NET skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to AI solutions. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to technical delivery.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using AI architecture. Think about specific challenges you faced, the solutions you implemented, and the impact they had. This will demonstrate your hands-on experience and ability to deliver production-ready AI solutions.
✨Familiarise Yourself with Azure AI Services
Since the role involves extensive work with Azure, make sure you’re well-versed in its AI services. Be prepared to discuss how you’ve integrated these services into your projects and any innovative ideas you have for leveraging them in future applications.
✨Communicate Clearly and Confidently
Strong stakeholder management and communication skills are key for this role. Practice articulating your thoughts clearly, especially when discussing technical concepts. Remember, they want someone who can bridge the gap between technical teams and business stakeholders effectively.
