Stott and May
Pre-Sales Engineer
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Pre-Sales / Solution Engineer – AI & Automation
Location: London, UK (Hybrid – 2–3 days per week in the office)
Salary: Competitive
The Role
Our client is looking for an experienced Pre-Sales / Solution Engineer to support the sales team in identifying, shaping and presenting AI and automation solutions to enterprise clients.
This is a client-facing role combining technical solution design with commercial engagement. You will work with customers to understand their business challenges, identify opportunities for automation and AI, and translate these into compelling solutions and business cases.
The role is approximately 50% technical/solution focused and 50% commercial/client engagement, making it ideal for someone who is technically credible, commercially minded and confident working with senior stakeholders.
Key Responsibilities
- Lead discovery workshops to understand customer operations, challenges and business objectives.
- Identify and prioritise automation, AI and agentic AI use cases.
- Demonstrate the potential of AI and automation and help clients understand achievable outcomes.
- Shape high-level solutions using UiPath, RPA, AI and related technologies.
- Develop business cases and ROI models to demonstrate commercial value.
- Translate business requirements into solution concepts, high-level architectures and delivery approaches.
- Support sales meetings, presentations, demonstrations, proposals and the wider sales cycle.
- Work closely with delivery and technical specialists to develop appropriate solutions.
- Challenge requirements and recommend practical, commercially viable approaches.
- Build trusted relationships with senior client stakeholders and influence decision-making.
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Essential Skills & Experience
- Approximately 5–8 years' experience within pre-sales, solution engineering, solution consulting or a similar client-facing technical role.
- Strong hands-on knowledge of UiPath and RPA/enterprise automation.
- Good understanding of AI, GenAI and LLM-based solutions and their commercial applications.
- Strong ability to translate business challenges into technology-led solutions.
- Experience developing business cases, ROI models or value propositions.
- Confident presenting to and engaging with senior stakeholders.
- Strong commercial awareness and understanding of enterprise sales processes.
- Ideally, experience working within an operational business environment rather than exclusively within technology vendors or consultancies.
- Operational or industry experience within one or more sectors; retail, logistics and hospitality are particularly relevant, with construction and banking also of interest.
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Desirable
- Experience carrying or contributing to a sales target.
- Knowledge of agentic AI and emerging automation technologies.
- Experience supporting complex enterprise sales cycles.
- Strong understanding of how automation can deliver measurable productivity, cost and service improvements.
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