At a Glance
- Tasks: Lead AI architecture and develop innovative solutions using C# and .NET.
- 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 potential 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 experience and a passion for AI solutions.
The predicted salary is between 70000 - 90000 £ per year.
If you are interested in applying for this job, please make sure you meet the following requirements as listed below. 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.
Lead Engineer 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 problem-solving, you'll have access to cutting-edge resources and opportunities for professional growth in a supportive environment. Located in a vibrant tech hub, this role not only allows you to work on exciting projects but also fosters a community of like-minded professionals passionate about driving technological advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C#/.NET and AI solutions. 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 technical questions related to AI architecture and .NET development. Practice explaining your past projects and how you've tackled complex problems—this is your chance to shine!
✨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 the attention it deserves.
We think you need these skills to ace Lead Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with C# and .NET, as well as any AI projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on development experience!
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. We love seeing candidates who can connect their experiences to the exciting projects we’re working on.
Showcase Your Projects:If you’ve built any Proof of Concepts or worked on AI solutions, make sure to mention them! We’re keen to see examples of your work that demonstrate your ability to take ideas from concept to production.
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 this fantastic opportunity to influence our AI strategy!
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 specific projects where you've implemented AI solutions or modernised legacy applications. This will show that you’re not just a theorist but someone who can get hands-on with the tech.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved in previous roles, especially those involving AI architecture or backend services. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Familiarise Yourself with Azure AI Services
Since the role involves working extensively with Azure, make sure you understand its AI services and how they can be integrated into applications. Being able to discuss specific Azure tools and their applications will demonstrate your readiness for the role.
✨Communicate Effectively
Strong stakeholder management is key for this position. Practice explaining technical concepts in simple terms, as you may need to communicate with non-technical team members. Good communication can set you apart from other candidates.
