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About the Role
PwC is expanding its Responsible AI (RAI) practice to meet client demand. As a Senior Manager and Responsible AI Solution Architect, you will shape and deliver PwC’s Responsible AI, Ethics, Security and Trust agenda. You will lead the architecture and delivery of trusted AI solutions across GenAI and agentic platforms, working at the intersection of engineering, cyber, data, model risk, and regulatory compliance. This role offers the opportunity to influence how large organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns.
Responsibilities
- Lead the design and delivery of trusted, secure, and compliant AI systems across GenAI and emerging agentic platforms.
- Translate Responsible AI principles and regulatory requirements into production-ready architectures.
- Architect end-to-end AI / GenAI / agentic solutions, embedding "Trust by Design" architecture patterns.
- Develop and mature PwC’s “Trust by Design” reference architectures and patterns for GenAI and agentic AI.
- Embed safety and policy controls, transparency and auditability, privacy and security controls, and human-in-the-loop mechanisms.
- Translate regulatory, policy, privacy, and ethical requirements into concrete technical controls across SDLC, data lifecycle, and model lifecycle.
- Partner with cyber and resilience specialists to advance AI threat modelling and mitigations.
- Define and lead AI assurance strategies across testing, validation, monitoring, and control effectiveness.
- Oversee development of test plans and evaluation frameworks.
- Shape approaches to model validation and independent assurance.
- Act as technical delivery lead / solution architect on flagship engagements.
- Lead multidisciplinary teams across RAI, engineering, cyber, data governance, and risk.
- Codify delivery experience into reusable assets to scale PwC’s methodology.
- Contribute to the UK Responsible AI go-to-market strategy.
- Lead and contribute to technical thought leadership on GenAI, agentic systems, LLM assurance, AI security, and governance.
- Mentor and upskill practitioners.
- Build, lead, and inspire diverse teams.
- Collaborate with global PwC teams to scale Responsible AI capabilities.
Requirements
- Deep expertise in Responsible AI principles and operating models, including design or assessment of governance/control frameworks aligned to recognised standards (e.g., NIST AI RMF, ISO/IEC 42001).
- Strong understanding of UK/EU AI regulatory landscape (including EU AI Act), data protection, model risk concepts, and AI ethics.
- Proven experience as a solution architect / technical architect designing and implementing enterprise-grade AI systems.
- Strong understanding of GenAI architectures (RAG, tool use, function calling, agents, orchestration patterns), including failure modes and risk controls.
- Hands-on or architecture-level experience with cloud AI platforms and services, ideally across Azure (e.g., Azure AI / Azure OpenAI, Prompt Flow, AML, Purview, Sentinel), AWS (e.g., Bedrock, SageMaker, IAM/KMS, CloudWatch), and other common data platforms, API management, and identity/access patterns.
- Familiarity with AI enabling technologies and ecosystems: vector databases, embedding pipelines, feature stores, model registries, prompt/trace observability, CI/CD for ML/LLM systems.
- Demonstrated ability to design and lead testing and validation approaches for AI systems, including GenAI safety testing, adversarial testing/red teaming, monitoring and incident management.
- Working knowledge of emerging methods such as fine-tuning (e.g. parameter-efficient approaches), evaluation harnesses, and measurement of risk/quality.
- Experience in consulting or industry, including leadership of complex AI/data/analytics/model risk initiatives.
- Strong stakeholder influence: able to advise executives and risk leaders and translate complex technical issues into business and regulatory implications.
- Commercial acumen: experience shaping proposals, leading workstreams, and supporting large engagements alongside Partners.
Skills
- Responsible AI
- GenAI
- Agentic platforms
- Engineering
- Cybersecurity
- Data governance
- Model risk
- Regulatory compliance
- Trust by Design
- AI threat modelling
- Prompt injection mitigation
- Data exfiltration mitigation
- Adversarial testing
- Model assurance
- AI security
- AI governance
- LLMOps
- Cloud AI platforms (Azure, AWS)
- Vector databases
- Embedding pipelines
- Feature stores
- Model registries
- Prompt/trace observability
- CI/CD for ML/LLM systems
- Fine-tuning
- Evaluation harnesses
- Stakeholder influence
- Commercial acumen
Location
- UK
Work Type
- Hybrid
- Office
- Home
- Client site
Experience Level
- Senior Manager
- Solution Architect
- Technical Architect
- Leadership
Benefits
- Empowered flexibility
- Private medical cover
- 24/7 access to a qualified virtual GP
- Six volunteering days a year
About the Company
- PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors.