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 potential in a tech-driven environment.
- Why this job: Make a real impact by shaping AI strategies and working on cutting-edge projects.
- Qualifications: Strong C#/.NET background with hands-on AI solution experience.
The predicted salary is between 60000 - 80000 £ 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.
Executive Chef - English Speaking in Manchester employer: Candour
Join a forward-thinking company that prioritises innovation and employee development, offering a dynamic work culture where your contributions directly shape the future of AI technology. With a strong focus on collaboration and hands-on involvement, you'll have the opportunity to work on cutting-edge projects while benefiting from continuous learning and growth in a supportive environment. Located in a vibrant area, this role not only promises professional fulfilment but also a chance to be part of a community that values creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Executive Chef - English Speaking in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, 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 set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI architecture questions and be ready to discuss your hands-on experience. Practice explaining your thought process when building Proof of Concepts and how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in AI. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Executive Chef - English Speaking in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your C#/.NET background and any AI projects you've worked on. We want to see how you can bring your unique flair to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you’ve tackled complex problems in the past. Let us know why you’re excited about this role and how you can contribute to our innovative projects.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention specific AI solutions you've implemented, your experience with Azure, and any proof of concepts you've developed. We love seeing hands-on experience that aligns with our needs.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
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 past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using AI solutions. Be specific about the challenges you faced, the approaches you took, and the outcomes. This will demonstrate your hands-on experience and strategic thinking.
✨Familiarise Yourself with Azure AI Services
Since the role involves extensive work with Azure, make sure you understand its AI services. Be prepared to discuss how you’ve used these tools in previous roles or how you would approach integrating them into existing applications.
✨Communicate Effectively
Strong stakeholder management is key. Practice articulating your ideas clearly and concisely. Think about how you can explain technical concepts to non-technical stakeholders, as this will show your ability to bridge the gap between tech and business.
