AI Solution Engineer - Manager

Pwc UK • London, ON

8d • Hybrid

About The Position

We are looking for an experienced AI Solution Engineer to act as the link between PwC’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 PwC’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. 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.

Requirements

• 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.
• 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.

Responsibilities

• Act as the link between industry architects and development capabilities.
• Shape AI solutions to meet client needs and deliver measurable business value.
• Design, demonstrate, and deliver prototype solutions aligned with customer needs and business goals.
• Create cloud prototypes to demonstrate and communicate solution value to stakeholders.
• Identify viable and feasible AI solutions for client issues.
• Demonstrate PwC’s technical capability in proposals.
• Explain technical requirements and dependencies of AI products/solutions to clients.
• Support the sales process by bridging the gap between technical and non-technical teams.
• Help sales teams select AI/ML solutions.
• Demonstrate how AI/ML solutions solve client business problems.
• Assist in demonstrating AI technical excellence during the early sales process.

Benefits

• Empowered flexibility
• Working week split between office, home and client site
• Private medical cover
• 24/7 access to a qualified virtual GP
• Six volunteering days a year

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed