At a Glance
- Tasks: Lead AI projects, design solutions, and build relationships with clients across various sectors.
- Company: Join a fast-growing AI company at the forefront of innovation.
- Benefits: Up to £95,000 salary, share options, and generous annual leave.
- Other info: Dynamic role with opportunities for mentorship and career growth.
- Why this job: Make a real impact by transforming complex problems into practical AI solutions.
- Qualifications: Strong software engineering background, experience with AI applications, and excellent communication skills.
The predicted salary is between 95000 - 95000 € per year.
MCS Group is seeking a Lead AI Engineer to join one of their fastest-growing clients. This is a truly unique role where you'll sit at the centre of a fast-moving, product-focused AI company, working directly with organisations operating at the sharpest end of complexity.
As a lead AI engineer, you'll act as the primary technical partner to customers, shaping how AI is applied in real-world, high-stakes environments; designing, engineering and delivering bespoke solutions on top of their ground-breaking AI platform.
The Role
At its core, this is a lead developer/solutions architecture role with real ownership. You'll work closely with clients to understand how they operate, uncover where AI can genuinely move the needle, and design solutions that are practical, deployable, and impactful. From there, you'll help bring those solutions to life; using AI-native development approaches and agentic tooling to move from concept to working product at pace. You won't just design solutions. You'll see them through.
What You'll Be Doing
- Build deep, trusted relationships with clients across multiple sectors
- Understand complex operational environments and identify high-impact problems
- Design clear, scalable solution architectures on top of a proprietary AI platform
- Work alongside AI coding tools to prototype, build and refine solutions quickly
- Translate ideas into working products through rapid iteration and feedback
- Maintain high standards across security, quality and performance
- Provide technical leadership across engagements, supporting and mentoring others
What We're Looking For
- You’ll be an engineer who is comfortable taking an ambiguous problem and turning it into a clear, working solution.
- You’ll have a strong background in software engineering and coding ability (Python preferred)
- Experience building production-grade AI-powered applications
- Confident working with LLMs, APIs, data systems and modern deployment approaches
- Able to engage non-technical stakeholders and translate needs into technical solutions
- Comfortable operating across multiple clients and problem spaces
- Naturally curious, adaptable and solutions-focused
Up to £95,000 with a leading benefits package which includes share options and super generous annual leave.
Lead AI Engineer in Belfast employer: MCS Group | Your Specialist Recruitment Consultancy
MCS Group is an exceptional employer for a Lead AI Engineer, offering a dynamic work environment at the forefront of AI innovation. With a strong emphasis on employee growth, you will have the opportunity to lead impactful projects while collaborating with diverse clients across various sectors. The company fosters a culture of trust and creativity, providing generous benefits including share options and ample annual leave, making it an attractive place for those seeking meaningful and rewarding employment.
Contact Detail:
MCS Group | Your Specialist Recruitment Consultancy Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. The more you engage with others, the better your chances of landing that Lead AI Engineer role.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with your projects, especially those involving AI applications. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead AI Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your software engineering background, especially in Python, and any experience with AI applications. We want to see how you can bring value to our fast-paced environment!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your unique experiences make you the perfect fit for this role. Don’t forget to mention your ability to engage with clients and translate complex problems into clear solutions.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially if they involve AI-powered solutions. This is your opportunity 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 the role. Plus, it shows us you’re proactive and keen to join our team at StudySmarter!
How to prepare for a job interview at MCS Group | Your Specialist Recruitment Consultancy
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially those relevant to the role. Be ready to discuss your experience with LLMs, APIs, and how you've built production-grade AI applications in the past.
✨Understand the Client's Needs
Before the interview, research the company and its clients. Think about how AI can solve their specific problems. This will help you demonstrate your ability to engage with non-technical stakeholders and translate their needs into technical solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've taken ambiguous problems and turned them into clear, working solutions. Highlight your approach to designing scalable solution architectures and how you’ve iterated on feedback to refine your work.
✨Be Ready to Lead
As a lead AI engineer, you'll need to show that you can provide technical leadership. Think of instances where you've mentored others or led projects, and be prepared to discuss how you maintain high standards across security, quality, and performance.
