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For Companies At a Glance
- Tasks: Lead AI discovery sessions and design scalable architectures for enterprise clients.
- Company: Fast-growing European leader in digital customer experience transformation.
- Benefits: Flexible working, private healthcare, pension plan, and 28 days annual leave.
- Why this job: Shape the future of AI-driven customer interactions with top global brands.
- Qualifications: Deep knowledge of AI, strong communication skills, and experience in enterprise-scale deployments.
- Other info: Collaborative environment with opportunities for mentorship and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
AI Solutions Specialist -Presales
Salary + Benefits to be discussed over a call
London – Hybrid Options Available
£75,000 base salary + £25,000 OTE + Benefits
Are you passionate about how AI can transform customer engagement?
We’re looking for a creative, commercially minded AI Solutions Specialist to join a fast-growing European leader in digital CX transformation. This is an opportunity to shape the future of intelligent customer interactions for some of the world’s most recognized brands.
As an AI Solutions Specialist, you’ll sit at the intersection of technology, business strategy, and customer experience.
You’ll help enterprise clients understand how Conversational AI, Generative AI, and automation can unlock measurable value across their contact centres and digital channels.
🌍 What You’ll Do
- Lead discovery sessions with enterprise clients to uncover needs and opportunities for AI and automation.
- Design and validate end-to-end AI architectures that are scalable, secure, and outcome-driven.
- Support bids and proposals with credible technical and operational input.
- Deliver compelling demos and presentations that show real business impact.
- Collaborate with Solution Engineers on proof-of-concepts and client showcases.
- Advise on AI trends, technologies, and best practices to shape go-to-market strategies.
- Mentor colleagues and contribute to a culture of knowledge-sharing and enablement.
⚙️ What You Bring
- Deep knowledge of Conversational AI, Generative AI, and automation frameworks.
- Understanding of CX and contact centre ecosystems (CCaaS platforms like Genesys, NICE, Avaya, Five9, or Amazon Connect).
- Experience designing or supporting enterprise-scale AI deployments.
- Commercial acumen, including ROI modelling and TCO analysis.
- Strong communication and presentation skills with executive audiences.
- Ability to balance technical depth with business storytelling.
- Leadership and mentoring capability within cross-functional teams.
🧠 Tech Stack Familiarity
- AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools.
- Cloud: AWS, Azure, or Google Cloud.
- Integration: APIs, microservices, middleware.
- Data: Advanced analytics and reporting tools.
🎓 Preferred Experience & Certifications
- Background in Presales, Solutions Consulting, or Technical Architecture.
- Experience in AI-enabled customer experience transformation.
- Degree in Computer Science, AI, or related field (or equivalent practical experience).
- Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus.
- Flexible / remote working options
- Private healthcare and life insurance
- Pension plan
- Cycle-to-work scheme
- 28 days paid annual leave (including company-wide wellbeing days)
- Access to LinkedIn Learning and ongoing development programs
If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment — we’d love to hear from you.
- Seniority Level
- Mid-Senior level
- Industry
- IT Services and IT Consulting
- Employment Type
- Full-time
- Job Functions
- Analyst
- Skills
- Large Language Models (LLM)
AI Solutions Specialist - PreSales employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Specialist - PreSales
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. The more connections we make, the better our chances of landing that AI Solutions Specialist role.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your experience with Conversational AI and automation. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Prepare for common interview questions related to AI and customer experience. We can even do mock interviews with friends to boost our confidence before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in joining the team and shaping the future of AI-driven customer experience.
We think you need these skills to ace AI Solutions Specialist - PreSales
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for how AI can transform customer engagement. Share specific examples of your experience with Conversational AI or Generative AI, and how you've seen it make a difference in real-world scenarios.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant skills and experiences that align with the job description. We want to see how your background fits into our vision for intelligent customer interactions.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate clarity and directness!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Conversational AI, Generative AI, and automation frameworks. Be ready to discuss how these technologies can transform customer engagement and provide real business value.
✨Understand the CX Landscape
Familiarise yourself with contact centre ecosystems and platforms like Genesys, NICE, or Amazon Connect. This will help you speak confidently about how your solutions fit into their existing systems and improve customer experience.
✨Showcase Your Presentation Skills
Prepare to deliver compelling demos and presentations. Practice your storytelling skills to effectively communicate the impact of your AI solutions, making sure to highlight ROI and TCO analysis where relevant.
✨Be a Team Player
Demonstrate your leadership and mentoring capabilities during the interview. Share examples of how you've collaborated with cross-functional teams in the past, as this role requires working closely with Solution Engineers and other stakeholders.
