At a Glance
- Tasks: Lead AI architecture and develop innovative solutions using C# and .NET.
- Company: Join a forward-thinking client investing in cutting-edge AI technology.
- Benefits: Competitive pay, hands-on experience, and the chance to shape AI strategy.
- Other info: Dynamic role with opportunities for technical transformation and growth.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong C#/.NET background with AI solution design 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.
Lead Engineer (Contract) 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 (Contract)
✨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 or can refer you directly to hiring managers.
✨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 technical interviews by brushing up on your coding skills and AI concepts. Practice common interview questions and be ready to discuss your past projects in detail, especially those that involved building Proof of Concepts.
✨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 (Contract)
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and automation. Share specific examples of projects where you've implemented AI solutions or modernised platforms, as this will resonate with our focus on innovation.
Highlight Your Technical Skills:Make sure to showcase your strong C# and .NET background. We want to know about your hands-on experience in developing scalable backend services and how you've tackled complex problems in previous roles.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points for key achievements and skills, making it easy for us to see why you're a great fit for the Lead Engineer role.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you’ll be one step closer to joining our exciting team!
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 impact.
✨Familiarise Yourself with Azure AI Services
Since the role involves extensive work 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 benefits will impress your interviewers.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining your technical decisions and architectural choices in a way that’s easy to understand. This will demonstrate your ability to manage stakeholders and collaborate effectively.
