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, generous leave, and remote work flexibility.
- Other info: Dynamic role with opportunities for mentorship and career growth.
- Why this job: Shape real-world AI applications and make a significant impact in diverse environments.
- Qualifications: Strong software engineering background, Python skills, and experience with AI applications.
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
Salary
Up to £95,000 with a leading benefits package which includes share options and super generous annual leave.
To speak in absolute confidence about this opportunity, please send an up-to-date CV via the link provided or contact Chris Busby, Associate Director - IT Recruitment, at MCS Group. Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles. All conversations will be treated in the strictest of confidence.
Lead AI Engineer JBLE1_NI in Belfast employer: MCS Group
MCS Group is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to take ownership of their projects. With a strong focus on employee growth, generous benefits including share options and extensive annual leave, and the opportunity to work at the forefront of AI technology, this role provides a unique chance to make a significant impact while enjoying a supportive and collaborative culture.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer JBLE1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential employers on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work. This gives you a chance to demonstrate your expertise beyond what's on paper.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI engineering. Think about how you can articulate your problem-solving process and technical knowledge clearly.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining us!
We think you need these skills to ace Lead AI Engineer JBLE1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead AI Engineer. Highlight your experience with AI, software engineering, and any relevant projects that showcase your ability to solve complex problems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this unique role. Share specific examples of how you've built relationships with clients and delivered impactful AI solutions in the past.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise, especially in Python and AI applications. We want to see how you’ve used these skills to create real-world solutions that make a difference.
Apply Through Our Website:For the best chance of success, apply directly through our website. This ensures your application gets to the right people quickly and shows us you're serious about joining our team!
How to prepare for a job interview at MCS Group
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to the role. Be ready to discuss your experience with LLMs, APIs, and how you've tackled complex problems in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've taken ambiguous problems and turned them into clear, working solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Build Rapport with Clients
Since this role involves building deep relationships with clients, practice how you'll engage with non-technical stakeholders. Think about how you can translate technical jargon into relatable concepts that demonstrate your understanding of their needs.
✨Demonstrate Leadership and Mentorship
Be ready to discuss your experience in leading projects and mentoring others. Share specific instances where you've provided technical guidance or support, showcasing your ability to inspire and elevate your team.
