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For Companies At a Glance
- Tasks: Lead the design and deployment of innovative AI applications for enterprise clients.
- Company: Join a high-growth AI consultancy transforming businesses with cutting-edge Generative AI solutions.
- Benefits: Enjoy a competitive salary, hybrid work options, 25 days holiday, and private medical insurance.
- Why this job: Be at the forefront of AI innovation, mentoring teams and shaping impactful solutions.
- Qualifications: 5+ years in software engineering, proficient in Python and experienced with Large Language Models.
- Other info: Access to a career coach and a strong learning culture awaits you!
The predicted salary is between 72000 - 108000 £ per year.
Job Description
Senior Applied AI Solution Engineer
£100,000-£130,000 + Benefits Depending on Experience
London with Flexible Working (Edinburgh/Glasgow Locations also available)
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
Senior Applied AI Solution Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Solution Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and Large Language Models. Being able to discuss recent developments or case studies during your conversations will demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the AI consultancy space. Attend industry events, webinars, or meetups where you can connect with current employees or leaders in the field. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your technical skills through practical demonstrations. Be ready to discuss past projects where you've led AI solution development, focusing on your role in the design, build, and deployment phases.
✨Tip Number 4
Highlight your leadership experience in your discussions. Be prepared to share examples of how you've mentored teams or set technical standards, as this role requires strong leadership capabilities alongside technical expertise.
We think you need these skills to ace Senior Applied AI Solution Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with Python and AI technologies. Emphasise any leadership roles or projects that showcase your ability to manage teams and deliver technical solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for applied AI and how your skills align with the role. Mention specific projects where you've led AI solution development and how you’ve engaged with stakeholders to deliver impactful results.
Showcase Technical Skills: Include a section in your application that details your proficiency with Large Language Models (LLMs) and any experience with microservices or distributed systems. This will demonstrate your technical expertise and suitability for the role.
Highlight Communication Abilities: Since strong communication skills are essential for this position, provide examples of how you've successfully engaged with both technical and non-technical stakeholders in previous roles. This could be through project summaries or specific achievements.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Expertise
As a Senior Applied AI Solution Engineer, it's crucial to demonstrate your strong experience in software engineering and proficiency with Python. Be prepared to discuss specific projects where you've successfully implemented AI solutions, particularly those involving Large Language Models or similar AI tooling.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders. Consider preparing examples of how you've successfully communicated project goals and outcomes in the past.
✨Demonstrate Leadership Skills
This position involves leading small teams and guiding engineering efforts. Be ready to share experiences where you've taken ownership of a project, mentored team members, or set technical standards. Highlight your ability to manage multiple projects and adapt to fast-paced environments.
✨Understand Client Needs
Since you'll be working closely with client stakeholders, it's important to show that you can understand their problems and shape high-impact AI solutions. Prepare to discuss how you've previously collaborated with clients to identify their needs and deliver tailored solutions that drive business value.
