Job Description

Job Summary

We are looking for an experienced AI Solution Engineer to act as the link between Client's industry architects,

who identify AI business cases, and the firm's development capabilities. This role shapes AI solutions, meets

client needs, and delivers measurable business value and technically feasible solutions.

The AI Solution Engineer is a key technical resource responsible for selecting, designing, demonstrating, and

delivering prototype solutions that align with customer needs and business goals during early engagement.

As a trusted advisor, the Solution Engineer has a strong mix of technical expertise, problem-solving skills, and

business acumen to effectively create cloud prototypes to demonstrate and communicate the value of

solutions to both technical and non-technical stakeholders.

They provide experience in identifying viable and feasible AI solutions to address specific client issues and

demonstrate the clients 's technical capability as part of proposals. They demonstrate extensive knowledge of

hyperscaler AI offerings, understanding all of the technical requirements and dependencies of a

product/solution and explaining them to potential clients

What your days will look like;

Primarily sales-oriented, this role is focused on supporting the sales process by bridging the gap between

technical teams and non-technical salespeople. The role helps sales teams select and prospects understand the

AI/ML solution, demonstrates how it solves their business problems, and assists in demonstrating AI technical

excellence to the client in the early sales process

This role is for you if you have;

Extensive experience working with sales teams and shaping viable and feasible software solutions as
part of process change for enterprise customers

AI Model Architecture - Evidenced expertise in LLMs, SLMs, (Large Language Models/Small Language
Models) performance, suitability, training requirements, and deployment

Cloud & Hyperscalers - Practical experience with at least two of the following is required: AWS
Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required

An understanding of underlying statistics, machine learning and data science, data engineering and big
data concepts is required

An understanding of the process and data complexities and prerequisites, and success criteria needed
to deliver a solution that meets user and business needs

Cloud Security & FinOps - Knowledge of landing zones, security, and AI cost optimisation
Job Type: Full-time

Pay: 39,637.47-109,265.65 per year

Work Location: Hybrid remote in London E14 6HB