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For Companies At a Glance
- Tasks: Lead the design and deployment of innovative AI applications.
- Company: Join a leading firm revolutionising business with Generative AI solutions.
- Benefits: Enjoy flexible working and a competitive salary of £70,000-£100,000 plus benefits.
- Why this job: Be at the forefront of AI technology, shaping strategies and mentoring future engineers.
- Qualifications: 5+ years in enterprise software development with expertise in scalable AI solutions.
- Other info: Engage with senior stakeholders 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 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 – 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 Solutions Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI 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 and commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the AI industry through platforms like LinkedIn or local meetups. Engaging with others can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving scalable AI solutions and client engagement. Being able to articulate your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Practice explaining complex AI concepts in simple terms. Since the role involves engaging with both technical and non-technical stakeholders, showcasing your ability to communicate effectively will be a key asset during the interview process.
We think you need these skills to ace 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 delivered scalable AI applications, especially those involving LLMs and production-ready deployments.
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 role in designing and deploying AI-driven applications, and any specific achievements related to AI model optimisation and solution architecture.
Prepare for Technical Questions: Anticipate technical questions related to Python, microservices, and AI concepts. Be ready to explain your approach to fine-tuning models and managing costs in AI deployments, as this will demonstrate your expertise during the interview process.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, microservices, and LLMs in detail. Highlight specific projects where you've successfully implemented AI solutions, focusing on the challenges you faced and how you overcame them.
✨Communicate Complex Ideas Simply
Since you'll be engaging with both technical and non-technical stakeholders, practice explaining complex AI concepts in layman's terms. This will demonstrate your ability to bridge the gap between technical details and business impact.
✨Demonstrate Leadership Skills
Share examples of how you've mentored engineers or led teams in previous roles. Discuss your approach to driving innovation and how you've translated high-level ideas into actionable plans.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past experiences where you had to optimise AI models or manage costs effectively, and be ready to explain your thought process.
