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PwC

Solutions Architect – Manager

PwC

. Own end-to-end architecture of AI-enabled products, platforms and services from discovery through live service .

Posted 11/9/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering AI-enabled enterprise solutions, with a strong focus on cloud-native architecture, technical leadership, and collaboration across multidisciplinary teams. Proficient in managing architectural risks and ensuring compliance with security and non-functional requirements.

Highest-signal resume keywords
AI Solution DesignCloud-Native ArchitectureTechnical LeadershipEnterprise Architecture CollaborationArchitectural Risk Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI ModelsCloud EngineeringAPIsDevSecOpsObservabilityDistributed TechnologiesSoftware DevelopmentIntegrationSecurityPerformance Evaluation
Soft Skills
Architectural JudgementCollaborationMentoringCommunicationProblem-Solving
Tools & Technologies
AzureAI PlatformsCloud ModernisationReference ArchitecturesBlueprints
Industry Keywords
Responsible AITechnical Trade-OffsNon-Functional RequirementsRFPsRFIs

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • Own end-to-end architecture of AI-enabled products, platforms and services from discovery through live service
  • Provide technical leadership throughout delivery and guide multidisciplinary engineering teams
  • Review key design decisions and resolve technical trade-offs
  • Identify and manage architectural risks, constraints, dependencies and technical debt
  • Ensure alignment with non-functional requirements, security controls and Tech Catalyst standards
  • Design responsible, production-ready AI solutions with evaluation and monitoring across quality, performance, safety, data quality, privacy, security, explainability, traceability and human oversight
  • Collaborate with Enterprise Architecture, Security, Engineering, Data and Platform teams
  • Develop and promote reusable patterns, reference architectures and blueprints
  • Stay current with AI and cloud technologies, including AI models and agentic technologies
  • Communicate architecture decisions to stakeholders and support RFPs, RFIs and proposals
  • Mentor Solution Architects, Engineers and other technical practitioners

Requirements

What you’ll need
  • Experience designing and delivering enterprise solutions end-to-end, from discovery and solution shaping through to engineering delivery and live service
  • Good architectural judgement and ability to work through ambiguity, technical trade-offs, risks and non-functional requirements
  • Experience with cloud-native architecture and engineering, ideally using Azure or a comparable cloud platform
  • Understanding of APIs, integration, security, identity, DevSecOps, observability and resilience
  • Experience designing AI solutions, including AI models, retrieval/RAG, agents and orchestration
  • Knowledge of responsible AI, evaluation, performance, security and cost considerations
  • Practical technology delivery experience, including AI platforms, software development, cloud modernisation, distributed technologies or taking AI solutions into production
  • Experience providing technical leadership and collaborating with senior stakeholders and technical teams
  • Experience contributing to solution shaping, proposals, RFPs or RFIs
  • Available for work visa sponsorship
  • Willingness/ability to travel up to 60%

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