Senior AI Architect

PwC

. Lead the architecture and design of enterprise AI solutions, ensuring they are scalable, secure, resilient and aligned to client business objectives .

Posted 9/30/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the architecture and design of enterprise AI solutions, with a strong focus on scalability, security, and alignment to business objectives. Proficient in modern AI technologies and cloud-native architectures, ensuring responsible AI practices and effective stakeholder engagement.

Highest-signal resume keywords

Enterprise AI ArchitectureLarge Language Models (LLMs)Cloud-Native ArchitecturesStakeholder ManagementResponsible AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solution DeliveryData GovernanceModel ManagementLifecycle ManagementDevSecOps Practices

Soft Skills

LeadershipCommunicationInfluencing Skills

Tools & Technologies

AzureAWSGoogle Cloud Platform

Industry Keywords

AI TransformationOrchestrationObservabilitySecurityCompliance

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Lead the architecture and design of enterprise AI solutions, ensuring they are scalable, secure, resilient and aligned to client business objectives
Define end-to-end architectures for AI, data and cloud platforms, including LLMs, agentic AI, Retrieval-Augmented Generation (RAG) and intelligent automation capabilities
Shape technical delivery approaches, lead architectural discovery activities and provide technical oversight across complex AI transformation programmes
Collaborate with multidisciplinary teams of AI Engineers, Data Scientists, Product Designers and business stakeholders to deliver innovative solutions
Embed responsible AI, governance, security, risk and compliance requirements throughout the solution lifecycle
Partner with clients and senior stakeholders to identify AI opportunities, develop technical roadmaps and drive enterprise-wide adoption of AI

Requirements

What you’ll need

Proven experience leading the architecture and delivery of enterprise-scale AI solutions within consulting, professional services or client-facing environments
Strong expertise in modern AI technologies, including Large Language Models (LLMs), agentic AI, RAG architectures and AI-enabled applications
Experience designing enterprise AI platforms covering orchestration, governance, observability, model management and lifecycle management
Deep understanding of cloud-native architectures and delivery across Azure, AWS and/or Google Cloud Platform, including security, integration and DevSecOps practices
Strong knowledge of responsible AI, data governance, security, regulatory and compliance considerations within enterprise environments
Excellent stakeholder management, communication and leadership skills, with the ability to influence senior technical and non-technical audiences and lead cross-functional teams
Available for work visa sponsorship
Willingness to travel up to 20%

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