Senior Manager, Responsible AI Solution Architect
United Kingdom
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Open Positions at Pwc UK
2
Full Time
$120,000 - $200,000*
4 months ago
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.Â
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.Â
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.Â
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 ComputingFull Time
$120,000 - $180,000*
4 months ago
United Kingdom
Worldwide
Job Description
About the role:
PwC is rapidly scaling its market leading Responsible AI (RAI) practice in the UK as client demand accelerates across sectors. As a Manager in our RAI team, you will lead workstreams that help organisations design, build and deploy AI that is trusted, ethical and compliant. You will work at the intersection of emerging technology, risk management and regulation, supporting clients to operationalise AI governance, implement practical controls and embed “trust by design” across the AI lifecycle, including GenAI and agentic AI. This new role supports our growing practice and offers strong opportunities for rapid progression.
What your days will look like:
We are seeking a Manager to lead client workstreams that ensure AI is developed and deployed ethically, safely and in line with emerging regulation. This role sits at the intersection of technology, governance and risk, offering the opportunity to shape how organisations build trust in AI and accelerate responsible adoption.
Lead RAI client engagements, supporting clients to establish governance, operating models, policies and controls for AI at scale.
Assess AI use cases and development practices to identify gaps (e.g., governance, bias/fairness, transparency, privacy, security) and recommend pragmatic improvements.
Translate Responsible AI principles and regulatory expectations into actionable delivery guidance across the AI and product lifecycle.
Produce or oversee key artefacts such as AI risk assessments, governance documentation, model testing outputs (bias/robustness/explainability), and evidence packs for assurance/audit.
Collaborate with data science, engineering and cyber teams to implement technical guardrails, monitoring and incident processes for AI systems (including GenAI).
Contribute to model evaluations and control design (e.g., explainability, robustness, fairness, human oversight, monitoring/observability).
Manage delivery quality, plan and run client workshops, and communicate complex AI risks and mitigations clearly to technical and non-technical stakeholders.
Contribute to a rapidly growing, high profile practice with strong opportunities for progression.
This role is for you if:
You have worked in consulting, technology, risk or transformation roles for 5+ years, with experience leading workstreams and managing stakeholders
Experience supporting AI governance, model risk, data governance, compliance, assurance, or technology risk, ideally with exposure to Responsible AI concepts (fairness, transparency, accountability, privacy, safety).
Regulatory and standards awareness: Working knowledge of relevant regulation and frameworks (e.g., EU AI Act trajectory, GDPR, NIST AI RMF, ISO/IEC 42001).
Analytical problem solving: Comfortable working with technical topics and evidence (model documentation/testing, controls, monitoring), with strong structured thinking and attention to detail.
Communication: Strong written and verbal communication; able to translate technical issues into clear business implications and recommendations.
GenAI exposure: Familiarity with GenAI/LLM risks and mitigations (e.g., guardrails, prompt/design controls, monitoring, human-in-the-loop) is preferred
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.Â
Requirements
- 5+ years of experience in consulting, technology, risk or transformation roles
- Experience leading workstreams and managing stakeholders
- Supporting AI governance, model risk, data governance, compliance, assurance, or technology risk
- Regulatory and standards awareness
- Analytical problem solving
- Comfortable working with technical topics and evidence
- Strong written and verbal communication
Benefits
- Company Retreats
- Conference Budget
- Coworking Space
- Dental Insurance
- Disability Insurance
- Employee Assistance Program
- Employee Discounts
- Flexible Hours
