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: Exciting projects, hands-on development, and the chance to shape AI strategy.
- Other info: Collaborative environment with opportunities for technical transformation and growth.
- Why this job: Make a real impact by modernising platforms and implementing AI solutions.
- Qualifications: Strong C#/.NET background with experience in AI architecture and development.
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.
Tolerance Lead Engineer (Contract) employer: Candour
Join a forward-thinking organisation that prioritises innovation and employee development, particularly in the realm of Artificial Intelligence. As a Tolerance Lead Engineer, you will thrive in a collaborative work culture that encourages hands-on involvement in cutting-edge projects, while benefiting from extensive growth opportunities and a commitment to modernising technology. Located in a vibrant tech hub, this role offers the chance to make a significant impact on AI strategy and implementation, all within a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Tolerance 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. The more people you know, the better your chances of landing that dream role.
✨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 tackled complex challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Tolerance Lead Engineer (Contract)
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! Use it to explain why you’re excited about this role and how your background in AI architecture can help us modernise our platforms. Keep it engaging and personal – we love to see your passion!
Showcase Your Problem-Solving Skills:In your application, share specific examples of complex problems you've solved, especially those involving AI solutions or legacy systems. We’re looking for someone who enjoys getting into the nitty-gritty, so let us know how you’ve tackled challenges in the past.
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, 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. The more detailed examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've solved in previous roles. Think of scenarios where you built proof of concepts or integrated AI technologies. This will demonstrate your hands-on experience and ability to deliver results.
✨Understand Their AI Vision
Research the company’s current AI strategy and be prepared to discuss how you can contribute. Show enthusiasm for their projects and suggest ideas on how you could help shape their AI architecture and governance.
✨Communicate Clearly and Confidently
Since strong stakeholder management is key, practice explaining your technical ideas in a way that non-technical people can understand. This will highlight your communication skills and show that you can bridge the gap between tech and business.
