AI Solution Engineer Senior Manager

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is looking for a Senior Manager in AI Solutions to lead sales teams in demonstrating AI/ML solutions. This role requires extensive experience in shaping software solutions for enterprise customers and expertise in AI model architecture, including large and small language models. The ideal candidate will have practical experience with major cloud platforms and a solid understanding of machine learning and data engineering. Join a forward-thinking company that values flexibility and offers comprehensive benefits, including private medical cover and volunteering opportunities.

Benefits

Private medical cover

24/7 access to a virtual GP

Six volunteering days a year

Flexible workweek

Qualifications

• Extensive experience working with sales teams to shape software solutions.
• Evidenced expertise in LLMs and SLMs for AI model architecture.

Responsibilities

• Assist sales teams in understanding AI/ML solutions.
• Demonstrate AI technical excellence to clients.

Skills

AI Model Architecture

Cloud & Hyperscalers

Machine Learning

Data Engineering

Cloud Security

Tools

AWS Bedrock/Sagemaker

Google Vertex AI

Azure ML

OpenAI

Job description

AI Solution Engineer Senior Manager, London

Client: PwC

Location: London, United Kingdom

Job Category: -

EU work permit required: Yes

Job Reference: 928fac041908

Job Views: 3

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description:

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: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI, and Azure ML.
• An understanding of underlying statistics, machine learning, data science, data engineering, and big data concepts.
• An understanding of process and data complexities, 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 optimization.

What you’ll receive from us:

Our benefits are designed to add value and support, recognizing and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a workweek split between office, home, and client site; private medical cover and 24/7 access to a virtual GP; six volunteering days a year, and much more.