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.
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 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
✨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 a Lead Engineer role that’s perfect for you.
✨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 soft skills. Be ready to discuss your experience with Azure and how you've modernised legacy applications. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that Lead Engineer role!
We think you need these skills to ace Lead Engineer
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 achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the Lead Engineer position and how your background in AI architecture can help us modernise our platforms. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of complex problems you've solved in previous roles. We love seeing how you approach challenges, especially when it comes to building AI-powered solutions or modernising legacy systems.
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, we love seeing applications come through our own channels!
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 cloud technologies. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Demonstrate Your Passion for AI
Talk about the latest trends in AI and how they can be applied in real-world scenarios. Share any personal projects or research you've done related to AI, as this will reflect your enthusiasm and commitment to staying updated in the field.
✨Engage with Stakeholders
Since strong communication skills are key, practice how you would explain complex technical concepts to non-technical stakeholders. Think of ways to demonstrate your ability to manage relationships and collaborate effectively, as this is crucial for the role.
