At a Glance
- Tasks: Lead AI architecture and develop innovative AI solutions from concept to deployment.
- Company: Join a forward-thinking company investing heavily in AI technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting projects with potential for significant impact and career advancement.
- Why this job: Shape the future of AI while staying hands-on with cutting-edge technology.
- Qualifications: Strong C#/.NET background with experience in AI solutions and cloud technologies.
The predicted salary is between 80000 - 100000 £ 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.
Director Project Development in Manchester employer: Candour
Join a forward-thinking organisation that prioritises innovation and employee development, particularly in the realm of Artificial Intelligence. With a collaborative work culture that encourages hands-on involvement in cutting-edge projects, you'll have the opportunity to shape AI strategies while working with advanced technologies like Azure. The company offers robust growth opportunities, competitive benefits, and a dynamic environment where your contributions directly impact the future of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Director Project Development in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 set you apart from the competition.
✨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 projects in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Director Project Development in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of AI Architect. Highlight your C#/.NET background and any hands-on AI projects you've worked on. We want to see how you’ve tackled complex problems and delivered innovative solutions!
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 experience makes you the perfect fit. Don’t forget to mention your passion for AI and how you’ve contributed to similar projects in the past.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in Azure and AI technologies. We love seeing examples of your work, so if you have any proof of concepts or projects, mention them to demonstrate your hands-on experience.
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 at StudySmarter!
How to prepare for a job interview at Candour
✨Know Your Tech Inside Out
Make sure you’re well-versed in C# and .NET, as these are crucial for the role. Brush up on your knowledge of AI architecture and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using AI solutions. Be ready to explain your thought process and the steps you took to develop proof of concepts that led to successful implementations.
✨Familiarise Yourself with Azure AI Services
Since the role involves extensive work with Azure, make sure you understand its AI services. Highlight any experience you have with cloud-native technologies and how you've integrated them into existing applications.
✨Communicate Effectively
Strong stakeholder management is key. Practice articulating your ideas clearly and concisely, especially when discussing technical concepts. Show that you can bridge the gap between technical and non-technical audiences.
