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- Tasks: Shape AI solutions and bridge the gap between technical teams and sales.
- Company: Join PwC, a leader in technology strategy and innovation.
- Benefits: Flexible working, private medical cover, and volunteering days.
- Other info: Dynamic role with opportunities for career growth and development.
- Why this job: Make a real impact by delivering cutting-edge AI solutions to clients.
- Qualifications: Experience in AI model architecture and cloud technologies required.
The predicted salary is between 70000 - 90000 £ 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.
- 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.
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.
AI Solution Engineer - Manager in London employer: PricewaterhouseCoopers
Contact Detail:
PricewaterhouseCoopers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Engineer - Manager in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI solutions and projects. Use platforms like GitHub to share your work. This not only demonstrates your technical expertise but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI solutions. Think about how you can bridge the gap between technical and non-technical stakeholders. We recommend doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team. Don’t forget to tailor your application to highlight your experience with AI and cloud technologies!
We think you need these skills to ace AI Solution Engineer - 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 Skills: Since this role is all about bridging technical and non-technical teams, be sure to emphasise your expertise in AI model architecture and cloud platforms like AWS or Google Cloud. We love seeing candidates who can communicate complex ideas simply!
Demonstrate Problem-Solving Abilities: Use your application to illustrate how you've tackled challenges in previous roles. We’re looking for someone who can think critically and provide innovative solutions, so share specific examples that highlight your problem-solving skills.
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at PricewaterhouseCoopers
✨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.
✨Demonstrate Your Sales Savvy
Since this role is sales-oriented, prepare to showcase your experience working with sales teams. Think of specific examples where you’ve bridged the gap between technical solutions and client needs. Highlight how you’ve helped clients understand complex AI/ML solutions and how they solve business problems.
✨Get Familiar with Cloud Platforms
You’ll need practical experience with cloud platforms like AWS, Google Cloud, or Azure. Be prepared to discuss your hands-on experience with these tools, including any projects where you’ve implemented AI solutions. This will demonstrate your technical capability and understanding of cloud security and cost optimisation.
✨Communicate Clearly with Non-Technical Stakeholders
As a trusted advisor, you’ll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations and using relatable analogies. This skill is crucial for demonstrating the value of AI solutions to clients who may not have a technical background.