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 influence technical direction.
- 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 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 - Field Quality 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 access to cutting-edge technologies and opportunities for professional growth in a supportive environment. Located in a vibrant area, this role not only allows you to shape AI strategies but also to thrive in a community that values creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer - Field Quality
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and .NET applications. We love seeing proof of concepts and innovative solutions, so make sure to highlight your hands-on experience in your discussions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C# and AI knowledge. We recommend practicing coding challenges and discussing your past projects. Be ready to dive deep into your experience with Azure and AI architecture!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to shape the future of AI with us.
We think you need these skills to ace Lead Engineer - Field Quality
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! Tell us why you’re excited about this role and how your background in AI architecture can help shape our projects. Keep it engaging and personal – we love to see your passion for technology!
Showcase Your Problem-Solving Skills:In your application, give examples of complex problems you've solved in previous roles. We’re looking for someone who enjoys getting involved in technical delivery, so share those stories that demonstrate your hands-on approach!
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 shows you’re keen to join our 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 thought process.
✨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 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.
