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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. You will help clients move from principles to production by designing secure, governed, and observable AI systems. This role offers the opportunity to influence how major 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 PwC’s “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 and escalation mechanisms.
- Translate regulatory, policy, privacy, and ethical requirements into concrete technical controls embedded across SDLC, data lifecycle, and model lifecycle.
- Partner with cyber and resilience specialists to advance AI threat modelling, prompt injection and data exfiltration mitigations, adversarial testing, and model assurance approaches.
- Define and lead AI assurance strategies across testing, validation, monitoring, and control effectiveness.
- Oversee development of test plans and evaluation frameworks including functional performance testing, safety testing, robustness testing, privacy and leakage testing, explainability and transparency checks, and post-deployment monitoring.
- Shape approaches to model validation and independent assurance.
- Act as technical delivery lead / solution architect on flagship engagements, owning architecture decisions, quality, and delivery outcomes.
- Lead multidisciplinary teams across RAI, engineering, cyber, data governance, and risk.
- Codify delivery experience into reusable assets to scale PwC’s methodology and differentiation.
- 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 through internal capability building, training, and coaching.
- Build, lead, and inspire diverse teams, fostering a culture of ethical innovation, engineering excellence, and continuous learning.
- Collaborate with global PwC teams to scale Responsible AI capabilities across the network and share repeatable assets.
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.
- Experience with model governance / MRM platforms, GenAI guardrail tools, and LLMOps / observability tooling (prompt/trace evaluation, scoring, monitoring).
- Experience leading or contributing to AI security programmes (threat modelling, prompt injection mitigation, data leakage prevention, secure deployment).
- External thought leadership (publications, speaking, panels) on Responsible/Trustworthy AI.
- Relevant certifications (e.g., ISO lead implementer/auditor) and/or contributions to standards bodies or industry forums.
Skills
- Responsible AI
- AI Ethics
- AI Security
- Trustworthy AI
- GenAI
- Agentic Platforms
- Solution Architecture
- Technical Architecture
- Cloud AI Platforms
- Azure AI
- Azure OpenAI
- Prompt Flow
- Azure Machine Learning
- Azure Purview
- Azure Sentinel
- AWS Bedrock
- AWS SageMaker
- AWS IAM
- AWS KMS
- AWS CloudWatch
- Data Platforms
- API Management
- Identity and Access Patterns
- Vector Databases
- Embedding Pipelines
- Feature Stores
- Model Registries
- Prompt/Trace Observability
- CI/CD for ML/LLM
- AI Testing
- AI Validation
- AI Monitoring
- Incident Management
- Fine-tuning
- Evaluation Harnesses
- Risk Measurement
- Quality Measurement
- Model Governance
- MRM Platforms
- GenAI Guardrail Tools
- LLMOps
- Prompt/Trace Evaluation
- Prompt/Trace Scoring
- Prompt/Trace Monitoring
- AI Security Programmes
- Threat Modelling
- Prompt Injection Mitigation
- Data Leakage Prevention
- Secure Deployment
- Stakeholder Influence
- Consulting
- Data Governance
- Model Risk
- Regulatory Compliance
- Accepting Feedback
- Active Listening
- Analytical Thinking
- Artificial Intelligence
- Big Data
- Coaching and Feedback
- Communication
- Complex Data Analysis
- Creativity
- Data-Driven Decision Making
- Data Engineering
- Data Lake
- Data Mining
- Data Modeling
- Data Pipeline
- Data Quality
- Data Science
- Data Science Algorithms
- Data Science Troubleshooting
- Data Science Workflows
- Deep Learning
- Embracing Change
- Emotional Regulation
Location
- UK
Work Type
- Office
- Home
- Client Site
Experience Level
- Senior Manager
Benefits
- Empowered flexibility
- 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
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.