Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design enterprise AI solutions that meet business goals and ensure scalability and security.
- Company: Join a leading firm in technology strategy, focused on innovative AI solutions.
- Benefits: Enjoy flexible working options, private medical cover, and six volunteering days annually.
- Why this job: Be part of a dynamic team shaping the future of AI in business.
- Qualifications: Proven experience in AI architecture and collaboration with sales and engineering teams required.
- Other info: Opportunity to work with cutting-edge technologies like AWS, OpenAI, and Google Vertex AI.
The predicted salary is between 72000 - 108000 £ per year.
We are looking for an experienced AI Solution Architect who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards.
The AI Solution Architect works closely with the sales teams, engineers and stakeholders to define solution plans and roadmaps, select appropriate technologies and models and guide successful implementations. They provide deep experience in designing viable, feasible, performant AI solutions. They steer and direct the design of a solution to address specific client issues and requirements and accelerate the development of the solution plan as part of proposals.
The Solution Architect works directly with sales teams and clients to assess their needs and design a full solution, including performance, scaling and security requirements - often involving AI/ML systems - that aligns with their business objectives and integrates seamlessly into their existing IT infrastructure.
This role is for you if you have:
- Proven experience architecting AI-driven solutions for enterprise customers, collaborating with sales and engineering teams.
- Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs.
- Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration.
- Strong knowledge of Cloud AI & Hyperscalers, including AWS Bedrock, OpenAI, Google Vertex AI, Azure, hybrid and multimodal AI applications.
- Proficiency in Cloud Security & FinOps, including AI landing zones, model refinement and testing, and compliance strategies.
- Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration.
- Understanding of data science principles, enabling informed evaluation of machine learning and statistical models.
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.
Travel Requirements: Up to 20%
Available for Work Visa Sponsorship? No
Government Clearance Required? No
AI Solution Architect Senior Manager employer: PricewaterhouseCoopers
Contact Detail:
PricewaterhouseCoopers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect Senior Manager
✨Tip Number 1
Network with professionals in the AI and technology sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in AI solutions. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your expertise in AI Solution Architecture by engaging in relevant online communities or forums. Share your knowledge on platforms like LinkedIn or GitHub, where you can demonstrate your skills in deploying AI models and working with cloud technologies. This visibility can make you stand out to our hiring team.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will show us your problem-solving abilities and your hands-on experience in the field.
✨Tip Number 4
Familiarise yourself with the latest tools and technologies in AI, especially those mentioned in the job description like AWS Bedrock and Google Vertex AI. Being knowledgeable about these platforms will not only boost your confidence but also demonstrate your commitment to staying current in this rapidly evolving field.
We think you need these skills to ace AI Solution Architect Senior Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in architecting AI-driven solutions, particularly for enterprise customers. Emphasise your collaboration with sales and engineering teams, as well as your expertise in relevant technologies like LLM/SLM deployment and cloud AI.
Craft a Compelling Cover Letter: In your cover letter, explain how your skills align with the job requirements. Discuss specific projects where you designed scalable and secure AI solutions, and how you addressed client needs through innovative architectures.
Showcase Relevant Projects: Include examples of past projects that demonstrate your ability to assess data dependencies and deliver AI solutions. Highlight your experience with cloud security, compliance strategies, and any successful implementations you've led.
Research the Company: Familiarise yourself with the company's values and recent projects in AI technology. This knowledge will help you tailor your application and show how you can contribute to their goals and objectives.
How to prepare for a job interview at PricewaterhouseCoopers
✨Showcase Your AI Expertise
Be prepared to discuss your experience with AI-driven solutions in detail. Highlight specific projects where you designed scalable and secure architectures, focusing on how they aligned with business objectives.
✨Understand the Business Needs
Demonstrate your ability to translate business requirements into technical solutions. Research the company’s industry and challenges to show that you can assess data dependencies and deliver tailored AI solutions.
✨Familiarise Yourself with Relevant Technologies
Brush up on the latest AI technologies and platforms mentioned in the job description, such as AWS Bedrock and Google Vertex AI. Be ready to discuss how you would select and implement these technologies in real-world scenarios.
✨Prepare for Collaborative Scenarios
Since this role involves working closely with sales teams and stakeholders, think of examples where you successfully collaborated on projects. Be ready to explain how you guided teams through the design and implementation phases.
