Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and deployment of innovative AI applications that make a real impact.
- Company: Join MBN Solutions, a leader in harnessing Generative AI for enterprises across the globe.
- Benefits: Enjoy flexible working options and the chance to work with cutting-edge AI technologies.
- Why this job: Be at the forefront of AI innovation, mentoring others and shaping strategies that drive change.
- Qualifications: 5+ years in software development with expertise in scalable AI solutions and LLMs required.
- Other info: This is a full-time, mid-senior level role based in Edinburgh or Glasgow.
The predicted salary is between 48000 - 84000 £ per year.
3 days ago Be among the first 25 applicants
This range is provided by MBN Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from MBN Solutions
Data Talent Specialist – Building teams in Data Science/Machine Learning/GenAI/Data Engineering/Econometrics across UK/North America/Europe
Applied AI Solution Engineer
Location: Edinburgh or Glasgow – Flexible Working
Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you want to work with some of the world’s leading AI technologies?
Our client helps enterprises harness the power of Generative AI — from crafting meaningful strategies to deploying production-ready AI solutions. As a Senior Applied AI Solution Engineer, you\’ll be at the forefront of this revolution.
What you’ll do:
- Lead the design, development, and deployment of AI-driven applications
- Work hands-on with Python, microservices, distributed systems, and LLMs
- Shape AI strategy, mentor engineers, and drive innovation across multiple projects
- Engage directly with senior stakeholders, explaining complex AI concepts in clear terms
What we’re looking for:
- 5+ years of enterprise software development experience
- A track record of delivering scalable AI solutions
- Proven experience in large-scale AI deployments — played a key role in production-ready AI applications
- Expertise in LLMs — skilled in fine-tuning, training, and prompt engineering
- AI model optimization — strong knowledge of cost management, evaluation, and modification
- Solution architecture — ability to design and build AI solutions from scratch
- Client engagement — comfortable working with both technical and non-technical stakeholders
- Team leadership & mentorship — capable of guiding teams, translating high-level ideas into action plans, and driving innovation
Seniorities and employment details:
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Analyst
- Industries: IT Services and IT Consulting
Referrals increase your chances of interviewing at MBN Solutions by 2x.
Get notified about new Solutions Engineer jobs in Edinburgh, Scotland, United Kingdom.
#J-18808-Ljbffr
Applied AI Solutions Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Solutions Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI technologies, especially Generative AI. Being able to discuss recent advancements and how they can be applied in real-world scenarios will impress potential employers.
✨Tip Number 2
Network with professionals in the AI field through platforms like LinkedIn or local meetups. Engaging with others can provide insights into the industry and may lead to referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to demonstrate your technical skills during interviews. Be ready to discuss specific projects where you've implemented AI solutions, focusing on your role in the design, development, and deployment processes.
✨Tip Number 4
Practice explaining complex AI concepts in simple terms. Since the role involves engaging with both technical and non-technical stakeholders, being able to communicate effectively is crucial for success.
We think you need these skills to ace Applied AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in enterprise software development and AI solutions. Focus on specific projects where you've led the design and deployment of AI applications, especially those involving Python and LLMs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Mention your experience in mentoring engineers and engaging with stakeholders, as these are key aspects of the job.
Showcase Relevant Projects: Include a section in your application that details relevant projects you've worked on. Highlight your contributions to large-scale AI deployments and any innovative solutions you've developed.
Prepare for Technical Questions: Anticipate technical questions related to AI model optimization and solution architecture. Be ready to discuss your approach to fine-tuning models and managing costs in AI projects.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, microservices, and LLMs in detail. Bring examples of past projects where you successfully delivered scalable AI solutions, as this will demonstrate your hands-on expertise.
✨Communicate Complex Concepts Simply
Since the role involves engaging with both technical and non-technical stakeholders, practice explaining complex AI concepts in straightforward terms. This will show your ability to bridge the gap between technical details and business impact.
✨Demonstrate Leadership and Mentorship
Highlight any previous experience in leading teams or mentoring engineers. Be ready to share specific instances where you translated high-level ideas into actionable plans, showcasing your leadership skills.
✨Prepare for Client Engagement Scenarios
Think of examples where you've successfully engaged with clients or stakeholders. Prepare to discuss how you managed expectations and communicated project progress, as this is crucial for the role.