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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI solutions while mentoring engineers and engaging with stakeholders.
- Company: Join a leading firm revolutionising AI for enterprises with innovative strategies and solutions.
- Benefits: Enjoy flexible working, competitive salary, and opportunities to work with advanced AI technologies.
- Why this job: Be at the forefront of AI innovation, making a real impact in the tech industry.
- Qualifications: Experience in enterprise software development and large-scale AI deployments is essential.
- Other info: This role offers a chance to shape AI strategy and drive innovation across multiple projects.
The predicted salary is between 60000 - 84000 £ per year.
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 an 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
Applied AI Solution Engineer (Glasgow) employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Solution Engineer (Glasgow)
✨Tip Number 1
Familiarise yourself with the latest trends in AI, particularly 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, especially those who work in similar roles. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented scalable AI solutions. Be ready to explain your role, the challenges faced, and how you overcame them to deliver successful outcomes.
✨Tip Number 4
Practice explaining complex AI concepts in simple terms. This skill is crucial for engaging with senior stakeholders and will set you apart as a candidate who can bridge the gap between technical and non-technical teams.
We think you need these skills to ace Applied AI Solution Engineer (Glasgow)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, microservices, and AI solutions. Emphasise any projects where you've delivered scalable AI applications or worked with LLMs.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your background aligns with the role. Mention specific experiences that demonstrate your ability to engage with stakeholders and lead teams.
Showcase Relevant Projects: Include a section in your application that details relevant projects you've worked on. Focus on your contributions to AI deployments and any innovative solutions you’ve developed.
Prepare for Technical Questions: Anticipate technical questions related to AI model optimisation 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 distributed systems. Bring examples of past projects where you successfully implemented AI solutions, especially those involving LLMs.
✨Communicate Complex Ideas Simply
Since the role involves engaging with senior stakeholders, practice explaining complex AI concepts in layman's terms. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Highlight Your Leadership Experience
Discuss any previous roles where you mentored engineers or led teams. Share specific instances where you drove innovation or shaped AI strategies, as this aligns with the expectations for the position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach designing scalable AI solutions or optimising AI models, and be ready to articulate your thought process.
