At a Glance
- Tasks: Shape AI solutions and bridge the gap between technical teams and clients.
- Company: Join PwC, a leader in innovative AI solutions with a collaborative culture.
- Benefits: Flexible working, private medical cover, and six volunteering days annually.
- Other info: Dynamic role with opportunities for personal and professional growth.
- Why this job: Make a real impact by delivering cutting-edge AI solutions to diverse clients.
- Qualifications: Experience in AI model architecture and cloud technologies required.
The predicted salary is between 36000 - 60000 £ 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.
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 Edinburgh employer: PwC UK
At PwC, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As an AI Solution Engineer - Manager, you will benefit from our commitment to employee growth through continuous learning opportunities and a flexible working environment that balances office, home, and client site engagements. With comprehensive benefits including private medical cover and dedicated volunteering days, we ensure that our team members are recognised and rewarded for their contributions while making a meaningful impact in the world of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Engineer - Manager in Edinburgh
✨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 build relationships 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 boost your confidence and refine your responses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who can bridge the gap between technical and non-technical teams.
We think you need these skills to ace AI Solution Engineer - Manager in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Solution Engineer. Highlight your experience with AI models, cloud platforms, and any sales-oriented achievements. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've bridged the gap between technical teams and clients in the past. We love a good story!
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Make sure to mention your experience with LLMs, cloud services like AWS or Azure, and any relevant projects. We’re keen to see how you can demonstrate AI solutions effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at PwC UK
✨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 shaped software solutions that addressed client needs. Highlight how you bridged the gap between technical and non-technical stakeholders.
✨Get Familiar with Cloud Solutions
Dive deep into at least two cloud platforms like AWS, Google Cloud, or Azure. Understand their AI offerings and be prepared to discuss how they can solve business problems. This knowledge will help you demonstrate your technical capability and align with the firm’s development capabilities.
✨Understand Business Value
Be ready to articulate how your AI solutions deliver measurable business value. Think about past projects where you’ve successfully identified client issues and provided viable solutions. This will position you as a trusted advisor who understands both the technical and business sides of AI.
