PwC

Line of Service

Industry/Sector

Specialism

Management Level

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.

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. 

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

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. 

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Industry/Sector

Specialism

Management Level

Job Description & Summary

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Lead in line with our values and brand.
• Develop new ideas, solutions, and structures; drive thought leadership.
• Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
• Balance long-term, short-term, detail-oriented, and big picture thinking.
• Make strategic choices and drive change by addressing system-level enablers.
• Promote technological advances, creating an environment where people and technology thrive together.
• Identify gaps in the market and convert opportunities to success for the Firm.
• Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.

The Opportunity 

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design, development, deployment, monitoring, and maintenance of full-stack AI solutions. As a senior technical leader, you will leverage deep technical specialization, strategic vision, comprehensive business acumen, and exceptional stakeholder communication skills to deliver impactful AI-driven solutions. This is a “hand-on” overseeing one or more AI solution work streams, driving continuous adaptation to emerging technologies, ensuring rigorous quality standards, and fostering a culture of continuous improvement and innovation. 

Responsibilities: 

- Provide strategic and technical leadership across multiple AI solution delivery teams

- Architect and oversee the delivery of comprehensive AI solutions, emphasizing full-stack development, including integration of Large Language Models (LLMs) and orchestrated applications

- Manage and own the full lifecycle of AI models and solutions, from development through deployment, monitoring, maintenance, and iterative enhancement

- Direct experiment-driven development, ensuring rapid prototyping, testing, validation, and operational excellence

- Establish and drive consistent quality control and continuous improvement of AI solutions, closely collaborating with business stakeholders to align solutions with strategic objectives

- Develop and maintain robust stakeholder relationships, clearly communicating complex solutions and strategic implications to senior business leaders

- Promote technical innovation, process improvement, and effective methodologies across teams

- Continuously evaluate and drive adoption of emerging technologies to enhance solution capabilities and maintain competitive advantage

What you must have 

- Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field 

- Minimum of 10 years of experience, including substantial experience in a senior technical leadership role managing multiple multidisciplinary teams 

What sets you apart 

- An advanced degree is preferred 

- Proven track record of hands-on experience in architecting, delivering, and managing AI and machine learning solutions, particularly with orchestrated LLM applications 

- Proven specialization in Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering 

- Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational certifications highly desirable 

- Extensive experience with Agile methodologies, continuous integration/continuous deployment (CI/CD), Git version control, and rigorous testing frameworks (unit, integration, end-to-end) 

- Extensive experience translating complex technical solutions into strategic business outcomes 

- Prior experience leveraging executive-level communication skills, capable of effectively articulating technical and strategic concepts to multiple stakeholders while navigating ambiguity 

- Proven track record of leading strategy, emphasizing analytical, decision-making, and problem-solving capabilities

- Proven ability to navigate complexity and ambiguity, providing clear direction and maintaining composure under pressure

Travel Requirements

Job Posting End Date

Job Description & Summary

With offices across 149 countries and more than 370,000 people, we are among the leading professional services networks in the world. We help organizations and individuals create the value they are looking for, by delivering quality in assurance, tax, and advisory services. The Data & Automation & AI team is positioned within the Broader Assurance Services unit, which is an integral part of the overall Assurance practice. This team undertakes a variety of complex information security consulting engagements, and business control reviews across a wide range of organizations. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. 

About the team: 

We provide practical, data-informed insights to assist our multinational clients in refining their operational processes, optimizing their financial decision making and deepening their customer understanding. Our solutions encompass LLM-based data extraction, large-scale data processing, pricing strategies, optimizing product ranges and branch operations, employee staffing and scheduling, customer segmentation, product recommendations. By integrating unmatched external and internal data sets, we address challenges for clients in various industries, including retail, financial services, and technology. Our team, comprising high-end engineers and industry specialists employing machine learning techniques and proprietary models to reveal outcomes that deliver significant value to our clients. 

The role: 
As an AI assurance expert at PwC, you will work with other subject matter experts (SMEs) in data science, model risk and data management. You will be responsible for planning and leading the validation of AI models used by our clients, focusing on identifying and assessing key risks and controls. Success in this role requires a collaborative approach, working closely with development teams to understand essential features and underlying model functionality. 

 
Duties and responsibilities: 

• Strategic Planning: Develop and shape the strategy for AI Assurance and lead the development and implementation of frameworks, governance models, and risk management strategies that provide consistent assurance at scale for AI initiatives.

• AI Model Validation: Collaborate with cross-functional teams and stakeholders associated with AI/ML systems to create fit-for-purpose mechanisms that support clients in validating their AI approach and methodology.

• You will serve as a subject matter expert on AI/ML assurance, staying up-to-date with the latest developments, best practices, and emerging trends in the field, and sharing your knowledge with internal and external stakeholders.

• You will constructively discuss your findings in collaboration with consultants and clients while always looking for the best solution.

• You will lead the development of internal accelerators for prototyping and accelerating AI Assurance that may be used later to accelerate the process of AI validation.

• You will have the opportunity to improve your technical skills, learn new technologies, and polish your communication skills through various company development programs.

Required Skills and Experience:

• Degree in quantitative fields such as engineering, mathematics, statistics, or other related areas.

• Familiarity with the EU AI Act from a technical perspective.

• At least 3 years of hands-on experience in developing, validating, and reviewing AI models. Based on previous experience, candidates will be considered for either Senior Associate or Manager positions.

• Prior experience preferably from a consulting or technology company.

• Strong understanding of the landscape of Artificial Intelligence and model risk management, including local and international regulations.

• Proven leadership capabilities in managing teams and projects with a focus on model governance.

• Regulation and Compliance: Conduct comprehensive assessments and audits of AI/ML systems, evaluating their compliance with relevant regulations and industry standards, and offering recommendations for improvement.

• Knowledge Sharing: Serve as a subject matter expert in AI/ML assurance, staying up-to-date with the latest developments, best practices, and trends, and sharing your knowledge with internal and external stakeholders.

• Ability to simplify complex model concepts and effectively communicate insights.

• Strong project execution skills to deliver across competing priorities.

• Relationship management skills to collaborate with stakeholders.

• Strong people skills, team-orientation, and a professional attitude.

• Fluency in English, German is a plus.

 
What we offer: 

• Professional experience in an international setting.

• A work environment filled with diverse tasks and continuous professional development: here you have the opportunity to gain experience while enhancing your skills in an inspiring, supportive setting.

• Flexible work schedule and home office option: you can organize your work hours as needed and partly work from home.

• Support on the path of learning and development: numerous business and digital training sessions, as well as other workshops, are available to continuously develop your personal and professional skills.

• A diverse benefits package beyond the base salary: In addition to our annual bonus system, every colleague is provided with a SZÉP card, home office support, and private health services. Corporate sporting opportunities, gym discounts, and various health preservation programs ensure physical and mental recharge.

• Active community life, supported by the company through various programs (e.g., "all staff" events, team-building activities).

  You can work in a central location in a comfortable office: our headquarters are located at the prestigious Eiffel Palace next to Nyugati Square.

• At PwC, we believe in diversity as it is the foundation of our responsible culture and long-term value creation. We aim to provide an inclusive and supportive workplace for employees with changed working capabilities as well.

Have we piqued your interest? Apply to us and further build your career here!

#LI-MB1 #LI-Hybrid

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Industry/Sector

Specialism

Management Level

Job Description & Summary

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the People Tech & AI team you will develop, test, and validate Generative AI agents and data pipelines, promoting reliability, scalability, and alignment with PwC standards. As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated standards while collaborating with multidisciplinary teams to support AI-enabled client solutions. This position provides an exciting opportunity to enhance your skills in automated testing and governance controls while contributing to innovative AI-driven solutions.

Responsibilities

- Apply automated testing and governance controls effectively

- Analyze complex issues and provide actionable insights

- Mentor and guide junior associates in their tasks

- Uphold rigorous standards of quality and technical excellence

What You Must Have

- Bachelor's Degree in Computer Science, Data Processing/Analytics/Science

- At least 2 years of experience in data engineering, AI/ML engineering, or quality engineering

- In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college

What Sets You Apart

- Demonstrating three years of specialized training in technology preferred

- Experience with test automation and CI/CD pipelines

- Familiarity with LLMs and prompt engineering concepts

- Understanding enterprise data patterns and quality frameworks

- Building and maintaining automated test suites for AI agents

- Validating integrations with Power Automate platform

- Executing LLM evaluation frameworks using defined metrics

- Working with data scientists and ML engineers

- Upholding professional standards and documentation expectations

Travel Requirements

Job Posting End Date