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: Collaborative environment with opportunities to modernise legacy systems and drive innovation.
- Why this job: Make a real impact by shaping AI strategies and delivering cutting-edge projects.
- Qualifications: Strong C#/.NET experience and a passion for AI and emerging technologies.
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.
Foundation Lead Engineer employer: Candour
Join a forward-thinking company that prioritises innovation and employee development, offering a dynamic work culture where your ideas can flourish. As a Foundation Lead Engineer, you'll have the unique opportunity to shape AI strategies while working with cutting-edge technologies in a collaborative environment that values hands-on involvement and technical excellence. With a strong focus on personal growth and a commitment to modernising technology, this role is perfect for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Foundation 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 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 competition.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI architecture and .NET development. Be ready to discuss your past experiences and how you've tackled complex problems in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some exciting opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Foundation Lead Engineer
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 technology!
Highlight Your Technical Skills:Make sure to showcase your strong C# and .NET background. Detail your experience with developing scalable backend services and modernising legacy applications. We want to know how your technical skills align with the role, so don’t hold back!
Proof of Concepts Matter:Since we’re keen on innovation, include any experience you have with building Proof of Concepts (PoCs). Describe the projects you’ve worked on, the technologies you used, and the outcomes. This will help us understand your hands-on approach to AI architecture.
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 exciting opportunity. Plus, it gives you a chance to explore more about what we do at StudySmarter!
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 and automation. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and 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 how you've used them in past projects will set you apart from other candidates.
✨Communicate Effectively
Strong communication skills are key for this role. Practice explaining technical concepts in simple terms, as you'll need to engage with various stakeholders. Show that you can bridge the gap between technical and non-technical teams, which is crucial for successful project delivery.
