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Tech Stack
Tools & technologiesAWSAzureCloud
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
ATS Keywords
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Hard Skills & Tools
AI Model ArchitectureLarge Language ModelsSmall Language Modelscloud prototypesmachine learningdata sciencedata engineeringbig data conceptscloud securityAI cost optimisation
Soft Skills
communicationproblem-solvingcollaborationclient needs assessmentproposal development