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- Tasks: Design enterprise AI solutions that meet business objectives and ensure scalability and security.
- Company: Join a leading firm in technology strategy, focused on innovative AI solutions.
- Benefits: Enjoy flexible working arrangements, private medical cover, and six volunteering days annually.
- Why this job: Be part of a dynamic team shaping the future of AI in business with impactful solutions.
- Qualifications: Proven experience in AI architecture, cloud technologies, and enterprise AI design required.
- Other info: Opportunity for travel up to 20% and no visa sponsorship available.
The predicted salary is between 43200 - 72000 £ 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
Contact Detail:
PricewaterhouseCoopers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect Senior Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially focusing on Large Language Models and their applications. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
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 challenges they face. This can provide valuable insights that you can leverage in discussions during the interview process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions. Be ready to explain your thought process, the technologies you used, and how you ensured scalability and security. Real-world examples will showcase your expertise and problem-solving skills.
✨Tip Number 4
Understand the company's culture and values by researching StudySmarter's mission and recent projects. Tailoring your conversation to align with our goals will show that you're not just looking for any job, but that you're genuinely interested in contributing to our success.
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 AI Solution Architecture, particularly with enterprise customers. Emphasise your collaboration with sales and engineering teams, and include specific examples of successful AI-driven solutions you've designed.
Craft a Compelling Cover Letter: In your cover letter, explain how your skills align with the job requirements. Discuss your expertise in LLM/SLM deployment and cloud AI technologies, and how these experiences can benefit the company. Be sure to convey your passion for AI and its potential to drive business success.
Showcase Relevant Projects: If possible, include a portfolio or a section in your application that showcases relevant projects you've worked on. Highlight your role in designing scalable and secure AI solutions, and any specific technologies you used, such as AWS Bedrock or Google Vertex AI.
Prepare for Technical Questions: Anticipate technical questions related to AI architecture and cloud security during the interview process. Brush up on your knowledge of data science principles and be ready to discuss how you've applied them in previous roles to meet business needs.
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, and be ready to explain the technologies and models you used.
✨Understand Business Objectives
Demonstrate your ability to align AI solutions with business goals. Research the company’s industry and challenges they face, and think about how your skills can help them achieve their objectives.
✨Collaborate Effectively
Since this role involves working closely with sales teams and stakeholders, practice articulating how you would collaborate with different teams. Share examples of past experiences where teamwork led to successful project outcomes.
✨Prepare for Technical Questions
Expect technical questions related to AI architecture, cloud security, and model orchestration. Brush up on key concepts and be ready to discuss how you would approach specific technical challenges in real-world scenarios.
