PwC UK – Manchester, United Kingdom

Overview

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.

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 prospect 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.

Responsibilities

• Act as the link between PwC’s industry architects and development capabilities to shape AI solutions and deliver measurable business value.
• Select, design, demonstrate, and deliver prototype AI solutions aligned with customer needs and business goals in early engagements.
• Communicate technical value to both technical and non-technical stakeholders; demonstrate PwC’s technical capability in proposals.
• Identify viable and feasible AI solutions to address client issues; articulate dependencies and requirements of products/solutions (including hyperscaler offerings).
• Support sales teams by shaping viable software solutions as part of enterprise process changes; help prospects understand AI/ML benefits.

Qualifications

• Extensive experience working with sales teams and shaping viable and feasible software solutions for enterprise customers.
• AI Model Architecture – Expertise in LLMs, SLMs, performance, suitability, training requirements, and deployment.
• Cloud & Hyperscalers – Practical experience with at least two of: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI, Azure ML.
• Understanding of statistics, machine learning, data science, data engineering, and big data concepts.
• Understanding of process and data complexities and prerequisites, and success criteria to meet user and business needs.
• Cloud Security & FinOps – Knowledge of landing zones, security, and AI cost optimisation.

What You’ll Receive From Us

No matter where you are in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Accounting

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Location notes: Salford, Manchester, and surrounding areas may be listed for related roles.