Senior Manager, Responsible AI Solution Architect

About The Role

PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors. 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 some of the UK’s largest organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns.

What Your Days Will Look Like

As a Senior Manager and Responsible AI Solution Architect, you will lead the design and delivery of trusted, secure and compliant AI systems across GenAI and emerging agentic platforms. Working across engineering, cyber, data governance and model risk, you will translate Responsible AI principles and regulatory requirements into production ready architectures. This is a hands on technical leadership role shaping how major organisations build, validate and scale AI safely.

• Architect end-to-end AI / GenAI / agentic solutions (from data and identity through model integration, orchestration, deployment, monitoring and incident response), embedding PwC’s “Trust by Design” architecture patterns to ensure systems are secure, governed, transparent and resilient.
• Develop and mature PwC’s “Trust by Design” reference architectures and patterns for GenAI and agentic AI, embedding:
  • safety and policy controls (guardrails, content safety, prompt-hardening),
  • transparency and auditability (logging, traceability, lineage),
  • privacy and security controls (data minimisation, encryption, key management),
  • and human-in-the-loop and escalation mechanisms.
• Translate regulatory, policy, privacy and ethical requirements into concrete technical controls embedded across:
  • SDLC and secure-by-design practices,
  • data lifecycle and data governance,
  • model lifecycle (training, fine-tuning, evaluation, release, monitoring).
• 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 across classical ML and GenAI.
• Oversee development of test plans and evaluation frameworks including:
  • functional performance testing (accuracy/task success),
  • safety testing (toxicity, bias, harmful capability),
  • robustness testing (adversarial prompts, jailbreak attempts),
  • privacy and leakage testing,
  • explainability and transparency checks,
  • and post-deployment monitoring (drift, incidents, regressions).
• Shape approaches to model validation and independent assurance, including documentation, governance evidence packs, and audit-ready artefacts.
• 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, bringing structure, pace and clarity to complex delivery.
• Codify delivery experience into reusable assets (frameworks, playbooks, accelerators, reference architectures) to scale PwC’s methodology and differentiation.
• Contribute to the UK Responsible AI go-to-market strategy, shaping priority offerings, target sectors, alliance motions and client propositions.
• Lead and contribute to technical thought leadership on GenAI, agentic systems, LLM assurance, AI security and governance, staying at the frontier of emerging techniques.
• 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.