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 working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and technical transformation.
- Why this job: Shape the future of AI while staying hands-on with exciting tech 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 - Foundations employer: Candour
Join a forward-thinking company that prioritises innovation and employee development, offering a dynamic work culture where your contributions directly impact the AI landscape. With a strong focus on collaboration and hands-on technical delivery, 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 tech hub, this role not only allows you to shape the future of AI but also provides access to a network of like-minded professionals and resources.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer - Foundations
✨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 your technical knowledge and problem-solving skills. Be ready to discuss your experience with AI architecture and how you've successfully delivered Proof of Concepts in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you who are passionate about AI and technology. It’s a great way to get noticed and potentially land that dream role.
We think you need these skills to ace Lead Engineer - Foundations
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 how you've tackled complex problems or implemented AI solutions in your previous roles. We love seeing candidates who are genuinely excited about the tech they work with!
Highlight Your Technical Skills:Make sure to showcase your strong C# and .NET background. Detail your experience with Azure services and any hands-on projects you've completed. We want to know how you've modernised legacy applications and what proof of concepts you've built, so don’t hold back!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specifics of this role. Mention how your skills align with our needs, especially around AI architecture and technical delivery. We appreciate when candidates take the time to connect their experience with what we’re looking for.
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 gives you a chance to explore more about our company culture and values while you’re at it!
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 proof of concepts you've worked on that showcase your enthusiasm and understanding of emerging technologies.
✨Engage with Stakeholders
Since strong communication skills are key, think about how you've successfully managed stakeholders in the past. Be prepared to discuss how you’ve communicated technical concepts to non-technical audiences and how you’ve collaborated with teams to drive projects forward.
