Senior AI Solution Engineer

PwC

AI Solution Engineer linking PwC’s industry architects with development teams. Shaping AI solutions to address client needs and demonstrating measurable business value.

Posted 6/19/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

ATS Keywords

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Hard Skills

AI Model ArchitectureLarge Language ModelsSmall Language Modelscloud prototypesmachine learningdata sciencedata engineeringbig data conceptscloud securityAI cost optimisation

Soft Skills

communicationproblem-solvingcollaborationclient needs assessmentproposal development

Tools & Technologies

AWS BedrockAWS SagemakerGoogle Vertex AIOpenAIAzure ML

Industry Keywords

enterprise customersprocess changeviable software solutionslanding zonessuccess criteria

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

act as the link between PwC’s industry architects and the firm’s development capabilities
shape AI solutions, meet client needs, and deliver measurable business value
responsible for selecting, designing, demonstrating, and delivering prototype solutions
create cloud prototypes to demonstrate and communicate the value of solutions
provide experience in identifying viable and feasible AI solutions to address specific client issues
demonstrate PwC’s technical capability as part of proposals

Requirements

What you’ll need

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

Benefits

Comp & perks

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