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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 strong learning opportunities and career coaching to enhance your professional growth.
The predicted salary is between 75000 - 110000 £ 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 well-versed in these technologies will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI consultancy space. Attend industry events, webinars, or meetups to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving AI applications. Be ready to explain your role, the challenges faced, and how you contributed to the success of the project, as this will showcase your hands-on experience.
✨Tip Number 4
Demonstrate your leadership skills by sharing examples of how you've mentored teams or led projects. Highlighting your ability to guide others and set technical standards will align well with the responsibilities of the Senior Applied AI Solution Engineer role.
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 involving Large Language Models (LLMs) to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for applied AI and detail how your skills can contribute to the company's mission. Mention specific projects where you've led teams or developed AI solutions that had a significant impact.
Showcase Technical Skills: Include a section in your application that showcases your technical skills, particularly in data processing, microservices, and distributed systems. Provide examples of how you've used these skills in past roles to solve complex problems.
Prepare for Interviews: If invited for an interview, be ready to discuss your previous projects in detail. Prepare to explain your thought process in developing AI solutions and how you engage with both technical and non-technical stakeholders.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, data processing, and microservices in detail. Highlight specific projects where you've successfully implemented AI solutions, especially those involving Large Language Models (LLMs).
✨Demonstrate Leadership Skills
Since this role involves leading engineering teams, share examples of how you've guided teams in the past. Discuss your approach to mentoring and setting technical standards, as well as any challenges you've overcome in leadership roles.
✨Engage with Stakeholders
Prepare to talk about your experience working with both technical and non-technical stakeholders. Think of instances where you effectively communicated complex ideas and shaped solutions based on client needs.
✨Adaptability is Key
This role requires managing multiple projects in a fast-paced environment. Be ready to discuss how you've successfully juggled various responsibilities and adapted to changing priorities in previous positions.
