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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 harnessing Generative AI to transform enterprise strategies.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation, making a real business impact in a dynamic environment.
- Qualifications: Experience in enterprise software development and scalable AI solutions is essential.
- Other info: Work with advanced technologies like Python, microservices, and LLMs.
The predicted salary is between 68000 - 102000 £ per year.
Job Description
Applied AI Solution Engineer
£85,000-£120,000 + Benefits Depending on Experience
London with 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
Applied AI Solution Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Solution Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Large Language Models (LLMs). Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your experience with scalable AI solutions. Think of specific projects where you played a key role, and be ready to explain your contributions and the impact they had on the business.
✨Tip Number 3
Practice explaining complex AI concepts in simple terms. Since you'll be engaging with both technical and non-technical stakeholders, being able to communicate effectively is crucial for this role.
✨Tip Number 4
Highlight your leadership and mentorship experiences. Be prepared to discuss how you've guided teams in the past and how you can drive innovation within the company.
We think you need these skills to ace Applied AI Solution Engineer
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 role in large-scale 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 cost management and how you've successfully fine-tuned AI models in the past.
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 you'll be 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 what the company is looking for.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in AI deployments and how you overcame them, focusing on your approach to solution architecture and client engagement.
