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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 leadership in AI solutions required.
- Other info: Opportunity to work on cutting-edge technology and contribute to R&D.
The predicted salary is between 60000 - 80000 £ per year.
A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.
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 prioritise 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 revolutionise enterprise technology.
Senior Artificial Intelligence Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Artificial Intelligence Engineer
✨Tip Number 1
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 the latest trends in AI solutions.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience where you mentored teams or led projects. Highlighting these experiences during interviews can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the specific AI technologies and frameworks mentioned in the job description. Being able to speak knowledgeably about these tools will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 4
Prepare to discuss how you've successfully managed multiple projects in the past. Providing concrete examples of your project management skills will show that you can handle the demands of this senior position.
We think you need these skills to ace Senior Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI applications, software development, and leadership. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the role. Mention specific projects or experiences that align with the responsibilities of leading AI solution development.
Showcase Technical Skills: In your application, emphasise your expertise in Python, microservices, and large-scale systems. Provide examples of how you've successfully implemented AI solutions in previous roles.
Highlight Leadership Experience: Discuss your experience in mentoring teams and managing projects. Illustrate how you've set high standards for technical excellence and fostered a culture of learning in your previous positions.
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 in detail. Highlight specific projects where you've successfully implemented AI applications or worked with large language models.
✨Demonstrate Leadership Skills
Since the role involves mentoring and guiding teams, be ready to 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 Clearly and Effectively
As a Senior AI Engineer, you'll need to engage with both technical and non-technical stakeholders. Practice explaining complex AI concepts in simple terms, and prepare to discuss how you've built strong client relationships in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to manage multiple projects. Think of scenarios where you've had to prioritise tasks or overcome challenges in AI solution development, and be ready to share those experiences.
