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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI solutions that drive real business impact.
- Company: Join a leading firm harnessing the power of Generative AI for enterprises.
- Benefits: Enjoy flexible working, competitive salary, and exciting corporate perks.
- Why this job: Be at the forefront of AI innovation and mentor future engineers.
- Qualifications: Experience in enterprise software development and scalable AI solutions required.
- Other info: Work with senior stakeholders and engage in hands-on AI projects.
The predicted salary is between 56000 - 84000 £ per year.
Applied AI Solution Engineer
£70,000-£110,000 + Benefits
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 Applied AI Solution Engineer , you'll be at the forefront of this revolution.
What you’ll do:
✅ 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:
enterprise software development experience
A track record of delivering scalable AI solutions
Proven Experience in Large-Scale AI Deployments – Has 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 – Can design and build AI solutions from scratch
Client Engagement – Comfortable working with both technical and non-technical stakeholders
Team Leadership & Mentorship – Can guide teams, translate high-level ideas into action plans, and drive innovation
AI Applied Solutions Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Applied Solutions Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI technologies, especially around Generative AI and LLMs. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI space, particularly those who have experience in enterprise software development. Attend relevant meetups or webinars to connect with potential colleagues and learn from their experiences.
✨Tip Number 3
Prepare to discuss your previous projects in detail, focusing on your role in delivering scalable AI solutions. Be ready to explain how you tackled challenges and what impact your contributions had on the overall success of the projects.
✨Tip Number 4
Practice explaining complex AI concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders. This skill will be crucial in showcasing your ability to bridge the gap between different audiences.
We think you need these skills to ace AI Applied Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, microservices, and large-scale AI deployments. Use specific examples to demonstrate your expertise in LLMs and AI model optimisation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI solutions and how your background aligns 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 specific projects where you have delivered scalable AI solutions. Highlight your role in production-ready applications and any innovative strategies you implemented.
Prepare for Technical Questions: Anticipate technical questions related to AI concepts, solution architecture, and client engagement. Be ready to explain complex ideas in simple terms, as this will be crucial during interviews.
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 Ideas Simply
Since the role involves engaging with senior stakeholders, practice explaining complex AI concepts in layman's terms. This will show your ability to bridge the gap between technical and non-technical audiences.
✨Demonstrate Leadership Qualities
Highlight any experience you have in mentoring engineers or leading teams. Discuss how you've translated high-level ideas into actionable plans, as this is crucial for driving innovation in the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly in large-scale AI deployments, and how you overcame them.
