AI Solutions Architect – Agentic

PwC

AI and Agentic Solutions Architect at PwC driving AI and agentic solutions across client portfolios. Leading design and implementation efforts while collaborating with various stakeholders.

Posted 6/30/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and cloud solutions, with a strong focus on enterprise architecture and technical pre-sales. Capable of building trusted relationships and influencing stakeholders while driving innovation and technical strategy in a dynamic environment.

Highest-signal resume keywords

Cloud Solutions Architect CertificationEnterprise Architecture ExpertiseLarge-Scale AI Solution DeliveryAI Governance KnowledgeTechnical Pre-Sales Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Ecosystem ExpertiseLLMsAgentic FrameworksOrchestration PlatformsCloud-Native ArchitecturesData EcosystemsEnterprise Integration PatternsTechnical GovernanceDelivery AssuranceSolution Shaping

Soft Skills

Relationship BuildingInfluencing Senior StakeholdersAdaptabilityCollaborationCommunication

Tools & Technologies

AWSMicrosoft AzureGoogle CloudPalantirOpenAIAnthropic

Certifications & Qualifications

Solutions ArchitectMachine LearningGenerative AIAgentic AI

Industry Keywords

AI SolutionsTechnical ConsultingPre-Sales ActivityTransformation ProgrammesGo-To-Market Initiatives

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Recommend and shape AI and Agentic solutions, defining scalable architectures aligned to client needs and PwC standards
Act as a technical advisor on complex, multi-region engagements, supporting pre-sales activity and large-scale transformation programmes
Collaborate with alliance partners, product and engineering teams, and internal stakeholders to co-create and position solutions
Build and maintain strong technical relationships across clients, alliances and PwC teams, supporting joint go-to-market initiatives
Drive delivery assurance, technical governance and knowledge sharing, contributing to innovation, best practice and team objectives

Requirements

What you’ll need

relevant certifications in Cloud, Data and AI (e.g. Solutions Architect, Machine Learning, Generative or Agentic AI) from leading providers such as AWS, Microsoft, Google Cloud, Palantir, OpenAI or Anthropic
strong experience in enterprise architecture, technical pre-sales or technology consulting
proven track record of delivering large-scale AI and cloud solutions
deep expertise across the AI ecosystem, including LLMs, agentic frameworks, orchestration platforms, RAG and AI governance
solid understanding of modern architectures, including cloud-native platforms, data ecosystems and enterprise integration patterns
ability to translate complex business challenges into scalable technical solutions and clearly articulate value to both technical and executive stakeholders
ability to build trusted relationships and influence senior stakeholders while supporting business development, solution shaping and technical sales cycles
adaptability across industries and regions, contributing to technical strategy, innovation and thought leadership in a rapidly evolving AI landscape

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