PwC UK Birmingham, England, United Kingdom
Overview
Join to apply for the AI Solution Architect Senior Manager role at PwC UK. 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.
Responsibilities
* Act as the link between PwC’s industry architects and development capabilities to shape AI solutions that meet client needs and deliver business value.
* Select, design, demonstrate, and deliver prototype AI solutions aligned with customer goals during early engagement.
* Demonstrate and communicate the value of AI solutions to both technical and non-technical stakeholders, primarily in sales contexts.
* Support the sales process by bridging the gap between technical teams and non-technical salespeople; help sales teams understand and articulate AI/ML solutions and their business impact.
* Identify viable and feasible AI solutions to address specific client issues and contribute to proposals and demonstrations of PwC’s technical capability.
* Demonstrate extensive knowledge of hyperscaler AI offerings and explain technical requirements and dependencies to potential clients.
Qualifications
* Extensive experience working with sales teams and shaping viable and feasible software solutions as part of enterprise process changes.
* AI Model Architecture – Expertise in LLMs, SLMs, performance, suitability, training requirements, and deployment considerations.
* Cloud & Hyperscalers – Practical experience with at least two of AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI, and 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 needed to deliver solutions that meet user and business needs.
* Cloud Security & FinOps – Knowledge of landing zones, security, and AI cost optimization.
What You’ll Receive From Us
No matter where you may be 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.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
* Industries – Accounting
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