Remote Opportunity
Senior Manager, Responsible AI Solution Architect
Join Pwc UK as a senior professional working remotely from United Kingdom. Explore the role, benefits, and apply in one place.
Full Time
$120,000 - $200,000*
2026-03-20
United Kingdom
Worldwide
Job Description
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.
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.
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.
Requirements
- Deep expertise in Responsible AI principles and operating models
- Strong understanding of UK/EU AI regulatory landscape
- Proven experience as a solution architect/technical architect
- Ability to lead the design and delivery of trusted, secure, and compliant AI systems
- Experience with AI threat modeling, prompt injection, and data exfiltration mitigations
- Ability to define and lead AI assurance strategies across testing, validation, and monitoring
Benefits
- Company Retreats
- Conference Budget
- Coworking Space
- Dental Insurance
- Disability Insurance
- Employee Assistance Program
- Employee Discounts
- Flexible Hours
Skills
Responsible AI
AI Ethics
AI Compliance
Machine Learning
Data governance
Model Risk Management
Cybersecurity
Cloud Computing
About AI-Estimated Salary
The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.
Ready to Apply?
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Salary Range (AI-Estimated)*
$120,000 - $200,000
80% confidence
Posted 2026-03-20
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