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AI Solutions Specialist - PreSales

MBN Solutions

City Of London

Hybrid

GBP 75,000 - 100,000

Full time

Today
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Job summary

A leading AI solutions provider in the UK is searching for an experienced AI Solutions Specialist - Presales. This role involves leading enterprise clients in understanding AI and automation's potential. Responsibilities include designing scalable AI architectures, delivering impactful presentations, and mentoring team members. The ideal candidate will possess deep knowledge of AI frameworks and excellent communication skills. Hybrid working options and an attractive benefits package are included.

Benefits

Flexible working options
Private healthcare
Pension plan
28 days paid annual leave
Access to LinkedIn Learning

Qualifications

  • Deep knowledge of Conversational AI and Generative AI.
  • Experience in enterprise-scale AI deployments.
  • Strong leadership and mentoring capabilities.

Responsibilities

  • Lead discovery sessions with clients to uncover AI needs.
  • Design end-to-end AI architectures that are scalable.
  • Deliver demos showcasing business impact.

Skills

Conversational AI
Generative AI
Automation frameworks
Communication skills
Business storytelling

Education

Degree in Computer Science or related field

Tools

AWS
Azure
Google Cloud
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‑conceptions 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.
Benefits
  • 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.

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