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- Tasks: Shape AI solutions and bridge the gap between technical teams and sales.
- Company: Join PwC, a leader in innovative AI solutions with a collaborative culture.
- Benefits: Flexible working, private medical cover, and generous volunteering days.
- Why this job: Make a real impact by delivering cutting-edge AI solutions to clients.
- Qualifications: Extensive experience in AI model architecture and cloud technologies.
- Other info: Dynamic role with opportunities for personal and professional growth.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for an experienced AI Solution Engineer to act as the link between PwC’s industry architects, who identify AI business cases, and the firm’s development capabilities. This role shapes AI solutions, meets client needs, and delivers measurable business value and technically feasible solutions. The AI Solution Engineer is a key technical resource responsible for selecting, designing, demonstrating, and delivering prototype solutions that align with customer needs and business goals during early engagement.
As a trusted advisor, the Solution Engineer has a strong mix of technical expertise, problem‑solving skills, and business acumen to effectively create cloud prototypes to demonstrate and communicate the value of solutions to both technical and non‑technical stakeholders. They provide experience in identifying viable and feasible AI solutions to address specific client issues and demonstrate PwC’s technical capability as part of proposals. They demonstrate extensive knowledge of hyperscaler AI offerings, understanding all of the technical requirements and dependencies of a product/solution and explaining them to potential clients.
Primarily sales‑oriented, this role is focused on supporting the sales process by bridging the gap between technical teams and non‑technical salespeople. The role helps sales teams select and prospects understand the AI/ML solution, demonstrates how it solves their business problems, and assists in demonstrating AI technical excellence to the client in the early sales process.
This role is for you if you have:
- Extensive experience working with sales teams and shaping viable and feasible software solutions as part of process change for enterprise customers.
- AI Model Architecture – Evidenced expertise in LLMs, SLMs, (Large Language Models/Small Language Models) performance, suitability, training requirements, and deployment.
- Cloud & Hyperscalers – Practical experience with at least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML.
- An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required.
- An understanding of the process and data complexities and prerequisites, and success criteria needed to deliver a solution that meets user and business needs.
- Cloud Security & FinOps – Knowledge of landing zones, security, and AI cost optimisation.
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.
AI Solution Architect/ Engineer - Senior Manager in London employer: PwC
Contact Detail:
PwC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect/ Engineer - Senior Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio or a GitHub repository where you can display your AI projects and prototypes. This gives potential employers a tangible way to see what you can do, and we all know actions speak louder than words!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI solutions. We recommend doing mock interviews with friends or mentors to build confidence and refine your responses. Remember, it’s all about demonstrating your expertise and problem-solving skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there that you won’t find anywhere else. Don’t miss out on your dream job!
We think you need these skills to ace AI Solution Architect/ Engineer - Senior Manager in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI solutions and cloud technologies. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Expertise: Don’t forget to mention your hands-on experience with tools like AWS, Google Vertex AI, or Azure ML. We’re looking for someone who can bridge the gap between technical and non-technical teams, so let us know how you’ve done this in the past.
Demonstrate Problem-Solving Skills: Use specific examples to illustrate how you've tackled complex problems in previous roles. We love seeing candidates who can think critically and provide innovative solutions, especially in a sales-oriented environment.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at PwC
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI Model Architecture, especially LLMs and SLMs. Be ready to discuss their performance, training requirements, and deployment strategies. This will show that you’re not just familiar with the concepts but can also apply them in real-world scenarios.
✨Bridge the Gap
Since this role is all about connecting technical teams with sales, practice explaining complex AI solutions in simple terms. Think about how you would describe a technical concept to someone without a tech background. This skill will be crucial during your interview.
✨Showcase Your Cloud Experience
Familiarise yourself with at least two cloud platforms like AWS, Google Cloud, or Azure. Be prepared to share specific examples of how you've used these tools to deliver AI solutions. Highlighting your practical experience will demonstrate your capability to meet client needs effectively.
✨Understand Business Value
Prepare to discuss how your technical solutions have delivered measurable business value in past roles. Think of specific instances where your work has directly impacted a client's success. This will help you position yourself as a trusted advisor who understands both the tech and the business side of things.
