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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions for diverse clients.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Flexible working, private medical cover, and generous volunteering days.
- Other info: Collaborative environment with opportunities for continuous learning and professional growth.
- Why this job: Make a real impact by transforming complex business challenges into scalable AI solutions.
- Qualifications: Experience in AI solutions, strong technical leadership, and knowledge of Responsible AI principles.
The predicted salary is between 80000 - 100000 £ per year.
The Senior Manager – AI Solutions will support the design, delivery, and scaling of AI and Generative AI solutions across the Data & AI capability within CDT. The role focuses on translating complex business problems into practical AI-enabled solutions for both internal stakeholders (Lines of Service) and external clients. Working closely with product leaders, architects, engineers, and business stakeholders, the Senior Manager will help deliver AI solutions that are scalable, secure, and aligned with firm risk and Responsible AI standards. The role also contributes to the growth of CDT’s AI capability by supporting client opportunities, developing reusable solution assets, and enabling multidisciplinary teams to deliver production-grade AI solutions across sectors.
What Your Days Will Look Like
- Translate business challenges into secure, high‑quality, and scalable AI architectures and solutions
- Work with clients and internal stakeholders to shape AI use cases, provide technical guidance, and support proposals and demonstrations
- Apply modern AI engineering practices including testing, monitoring, and evaluation frameworks
- Develop reusable AI accelerators such as reference architectures, prompt libraries, and solution templates
- Collaborate with data and platform teams to ensure AI solutions are built on governed, high‑quality, AI‑ready data
- Embed Responsible AI principles, including privacy, security, fairness, and regulatory compliance, into solution design and delivery
- Lead and mentor multidisciplinary teams, fostering collaboration and building AI capability across the wider organisation
This Role Is For You If You Have
- Proven experience delivering AI and Generative AI solutions into production, translating complex business problems into scalable, real‑world solutions
- Strong background in modern AI architectures, including LLMs, RAG, AI agents, prompt engineering, orchestration patterns, and AI development toolchains
- Hands‑on experience operationalising AI through data pipelines, feature engineering, model lifecycle management practices
- Experience working across client engagements, proposals, and transformation programmes, with robust monitoring and evaluation frameworks in place
- Strong understanding of modern cloud data platforms, including lakehouse architectures, data fabrics, enterprise data ecosystems, and associated governance, metadata, and semantic layers
- Solid knowledge of Responsible AI principles, including model risk, bias mitigation, explainability, privacy, and AI governance practices
- Proven technical leadership with the ability to lead complex deliveries, collaborate across business, technology, and risk teams, and maintain continuous professional development through ongoing learning, certifications, and engagement with emerging AI practices
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.
Senior Manager - AI Solutions employer: PwC UK
Contact Detail:
PwC UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager - AI Solutions
✨Network Like a Pro
Get out there and connect with folks in the AI space! Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that Senior Manager role.
✨Showcase Your Expertise
Create a portfolio that highlights your past AI projects and solutions. Use case studies to demonstrate how you've tackled complex business problems. This will make you stand out when chatting with potential employers.
✨Ace the Interview
Prepare for interviews by brushing up on common AI-related questions and scenarios. Be ready to discuss your experience with modern AI architectures and how you've applied Responsible AI principles in your work.
✨Apply Through Our Website
Don't forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a chance to be part of our amazing team focused on delivering top-notch AI solutions.
We think you need these skills to ace Senior Manager - AI Solutions
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI solutions. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this role is all about AI and Generative AI, be sure to mention your hands-on experience with modern AI architectures and tools. We love seeing specific examples of how you've operationalised AI in past roles.
Emphasise Collaboration: This position involves working closely with various teams, so highlight your experience in leading multidisciplinary teams and collaborating with stakeholders. We’re looking for someone who can foster teamwork and drive results!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at PwC UK
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and Generative AI. Be ready to discuss specific architectures like LLMs and RAG, and how they can solve real business problems. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated complex business challenges into scalable AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for interviewers to see your impact.
✨Emphasise Collaboration
This role involves working with various teams, so highlight your experience in leading multidisciplinary teams. Share stories that demonstrate your ability to foster collaboration and mentor others, as this is key to delivering successful AI solutions.
✨Understand Responsible AI Principles
Be ready to discuss how you incorporate Responsible AI principles into your work. Talk about your knowledge of privacy, security, and bias mitigation, and how these factors influence your design and delivery of AI solutions.