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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML solutions, bridging technical and non-technical stakeholders to deliver business value. Proficient in cloud technologies and enterprise architecture, with a strong focus on client needs and measurable outcomes.
Highest-signal resume keywords
AI/ML Solutions ExpertiseAWS Bedrock/SageMakerGoogle Vertex AIOpenAIAzure ML
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Large Language Models (LLMs)Statistical AnalysisMachine LearningData ScienceData EngineeringBig Data ConceptsCloud SecurityAI Cost OptimisationAgile MethodologyEnterprise Architecture
Soft Skills
CommunicationCollaborationSales SupportProblem Solving
Tools & Technologies
Amazon Web Services (AWS)Google Cloud PlatformEnterprise IntegrationEnterprise Application IntegrationEnterprise Service BusIT Service Management
Industry Keywords
Cloud PrototypesBusiness ArchitectureProcess ChangeClient EngagementTechnical Proposals
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformITSM
About the role
Key responsibilities & impact- Act as the link between PwC’s industry architects and development capabilities
- Shape AI solutions that meet client needs and deliver measurable business value
- Select, design, demonstrate, and deliver prototype solutions aligned with customer needs and business goals
- Create cloud prototypes demonstrating and communicating solution value to technical and non-technical stakeholders
- Identify viable and feasible AI solutions addressing specific client issues
- Demonstrate PwC’s technical capability as part of proposals
- Explain hyperscaler AI offerings and their technical requirements and dependencies to potential clients
- Support the sales process by bridging technical teams and non-technical salespeople
- Help sales teams select and prospects understand AI/ML solutions
- Demonstrate how AI/ML solutions solve business problems and showcase AI technical excellence to clients during early sales engagements
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
- Evidenced expertise in LLMs and SLMs, including performance, suitability, training requirements, and deployment
- 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, prerequisites, and success criteria needed to deliver solutions meeting user and business needs
- Knowledge of landing zones, cloud security, and AI cost optimisation
- Availability for up to 60% travel
- Available for work visa sponsorship
- Required Skills include Amazon Web Services (AWS), Google Cloud Platform, Agile Methodology, Business Architecture, Enterprise Architecture, Enterprise Integration, Enterprise Application Integration, Enterprise Service Bus, and IT Service Management
Benefits
Comp & perks- Empowered flexibility and a working week split between office, home and client site
- Private medical cover
- 24/7 access to a qualified virtual GP
- Six volunteering days a year