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For Companies At a Glance
- Tasks: Lead the design and deployment of innovative AI applications for major clients.
- Company: Join a top AI solutions provider driving innovation in Generative AI.
- Benefits: Enjoy a competitive salary, hybrid work options, and wellness support.
- Why this job: Make a real impact in AI while mentoring teams and collaborating with clients.
- Qualifications: Experience in software development, Python, and AI applications is essential.
- Other info: Opportunity to work in a collaborative culture focused on professional development.
The predicted salary is between 75000 - 95000 £ per year.
Salary: £75,000 - £95,000 + EMI Share options
Location: UK wide Home based / Hybrid (with occasional travel to client offices as needed)
The Company
MBN are partnered with a leading AI solutions provider enabling organizations to achieve a competitive advantage through Generative AI. By working with large corporate clients, they create and deploy scalable, enterprise-ready AI solutions. Their strategic partnerships with major AI technology providers allow them to drive innovation in applied AI and build industry-leading solutions.
The Role
As a Senior Applied AI Solution Engineer, you’ll lead the design, development, and deployment of AI applications, such as Large Language Model-powered agents, for major clients. This role balances hands-on development with leadership, and offers the opportunity to own end-to-end solutions and contribute to innovation.
What You’ll Do:
- Lead AI solution development from concept to deployment, ensuring alignment with client strategies.
- Build and deploy AI-powered applications using foundational models, enhancing enterprise capabilities.
- Mentor and guide teams, setting high standards for technical excellence and fostering a culture of learning.
- Drive innovation in AI technologies, contributing to R&D and knowledge base.
- Collaborate with clients to explain complex solutions and build strong relationships.
What We’re Looking For:
- Experience in software development, with expertise in Python, microservices, and large-scale systems.
- Experience with AI applications, data processing, and large language models.
- Proven leadership in AI solution design and team management.
- A Strong communicator, capable of engaging with senior business and technical clients.
- The ability to manage multiple projects and prioritize effectively.
Key Benefits
- Competitive salary and benefits (including EMI and share options).
- Hybrid working policy with flexibility.
- Wellness support including medical insurance, wellness plans, and life policies.
- Professional development opportunities in an AI-driven, collaborative culture.
If you’re passionate about AI and want to make a real impact, apply now and join our mission to revolutionize enterprise technology.
Senior Artificial Intelligence Engineer (England) employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Artificial Intelligence Engineer (England)
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Large Language Models. Being able to discuss recent advancements and how they can be applied in real-world scenarios will show your passion and expertise during interviews.
✨Tip Number 2
Network with professionals in the AI field, especially those who work with large corporate clients. Attend industry events or webinars to connect with potential colleagues and learn about their experiences, which could give you valuable insights for your application.
✨Tip Number 3
Prepare to demonstrate your leadership skills by thinking of examples where you've successfully led a project or mentored a team. This will help you convey your ability to manage multiple projects and foster a culture of learning, which is crucial for this role.
✨Tip Number 4
Research the company’s strategic partnerships and recent projects. Understanding their approach to AI solutions will allow you to tailor your discussions and show how your experience aligns with their goals, making you a more attractive candidate.
We think you need these skills to ace Senior Artificial Intelligence Engineer (England)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI applications, software development, and leadership roles. Use specific examples that demonstrate your expertise in Python and large-scale systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the company's mission. Mention how your skills align with their needs, particularly in leading AI solution development and mentoring teams.
Showcase Your Projects: Include details about specific projects you've worked on that involved AI technologies, especially those related to large language models. Highlight your role in these projects and the impact they had on previous clients or employers.
Prepare for Technical Questions: Anticipate technical questions related to AI solutions and software development during the interview process. Be ready to discuss your approach to problem-solving and how you manage multiple projects effectively.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, microservices, and large-scale systems. Highlight specific projects where you've successfully developed AI applications, especially those involving large language models.
✨Demonstrate Leadership Skills
Since the role involves mentoring and guiding teams, share examples of how you've led projects or teams in the past. Discuss your approach to fostering a culture of learning and technical excellence.
✨Communicate Complex Ideas Clearly
Practice explaining complex AI solutions in simple terms. This will be crucial when collaborating with clients who may not have a technical background. Use analogies or real-world examples to make your points relatable.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to manage multiple projects. Think of scenarios where you had to prioritise tasks or overcome challenges in AI solution development, and be ready to discuss them.
