Senior Manager, Responsible AI Solution Architect

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism TRS Consulting Management Level Senior Manager Job Description & Summary 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. This role is for you if you have: • 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. Desirable to have: • 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. What success looks like in this role: • You can architect a GenAI/agentic solution end-to-end, explain the trade-offs, and embed Trust by Design controls without slowing delivery to a crawl. • You’re comfortable with both platform realities (Azure/AWS services, identity, security, integration, monitoring) and RAI assurance (evidence, testing, validation, governance). • You can turn lessons learned into repeatable patterns that scale across PwC and across clients. What you’ll receive from us: No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including 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. Applications close on the 5 of June 2026 Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), 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 {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date September 4, 2026