Job Detail

AI Solution Engineer - Manager

PwC · GB
Data Science and AI Full–time
ID: #10975
Posted: 2026-03-03
Salary

Description

About The Role  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 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  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.

Hard Skills 9
Skill Source Confidence
Large Language Models (LLMs) llm_hard
100%
AWS (SageMaker, EC2, S3) llm_hard
100%
Azure ML llm_hard
100%
Google Cloud AI llm_hard
100%
MLOps llm_hard
80%
Model Deployment llm_hard
80%
Supervised Learning llm_hard
80%
Unsupervised Learning llm_hard
80%
Statistics llm_hard
80%
Soft Skills 6
Skill Source Confidence
Cross-Functional Communication llm_soft
100%
Explaining Complex Ideas Clearly llm_soft
100%
Stakeholder Communication llm_soft
100%
Problem-Solving llm_soft
100%
Decision-Making llm_soft
80%
Collaboration llm_soft
80%
Apply Options
Publisher Direct Link
LinkedIn No Apply
Jobilize No Apply
LinkedIn No Apply
API Logs for this Job
Query Country Status Response ms Created
AI Solution Engineer - Manager extracted 4937 2026-03-22 02:46
AI Solution Engineer - Manager classified 439 2026-03-21 21:06
junior deep learning engineer in Edinburgh gb duplicate 5067 2026-03-21 17:12
junior ML engineer in Edinburgh gb processed 7016 2026-03-21 17:01
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