This range is provided by MBN Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Overview

AI Solutions Engineers x2

£75,000-£100,000 + Benefits Depending on Experience

Fully Remote, Offices in London, Glasgow, Bristol

We are seeking two AI Solutions Engineers to design, build, and deliver cutting-edge customer-facing AI solutions for a leading Consultancy who specialises on CX and Contact Centre solutions.

Sitting at the intersection of technology, product, and customer experience, you will rapidly prototype and iterate on AI-powered experiences that demonstrate business value, inspire customers, and inform our product roadmap.

Any experience applying Agentic solutions within Consulting, Customer Experience or Contact Centres is a advantage.

Responsibilities

• Design and deliver AI-driven prototypes and proof-of-concepts for customer-facing use cases.
• Collaborate closely with Product, Engineering, and Sales teams to shape solution design and delivery.
• Engage with customers to understand their pain points, goals, and success metrics.
• Build business cases and ROI models to quantify solution impact.
• Provide technical guidance on LLMs, prompt design, and orchestration techniques.
• Translate business requirements into data flows, process maps, and AI-enabled journeys.
• Document learnings, patterns, and best practices to support reuse and scaling.
• Promote ethical, safe, and transparent AI practices across projects.

Key Skills & Experience

• Strong programming ability, ideally with Python.
• Hands-on experience with Generative AI tools, frameworks, and orchestration techniques.
• Background in customer experience or service design, including journey mapping.
• Experience in ROI modelling and business case development.
• Ability to collaborate across sales, product, and engineering teams.
• Excellent communication and storytelling skills, especially using data.
• Awareness of ethical AI principles and responsible AI practices.

Critical Thinking

• Analyse complex problems and identify AI-driven solutions.
• Evaluate trade-offs between technical feasibility, scalability, and user impact.

Creativity & Innovation

• Apply AI creatively to solve real-world challenges.
• Contribute to ideation and experimentation across use cases.
• Work cross-functionally with Product Managers, Engineers, and Sales.
• Share insights and feedback between internal and external teams.

Communication

• Translate technical concepts into clear, actionable insights.
• Document learnings, use cases, and best practices for internal reuse.

Customer-Centric Mindset

• Understand customer pain points and business goals.
• Design solutions that deliver measurable value and impact.

Curiosity & Continuous Learning

• Stay up to date with AI trends, tools, and frameworks.
• Experiment with new approaches and share findings with the team

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting

Industries

• IT Services and IT Consulting

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