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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: Experience in AI model architecture and cloud technologies required.
- Other info: Dynamic role with opportunities for personal and professional growth.
The predicted salary is between 80000 - 100000 £ 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 Architect/ Engineer - Senior Manager in Edinburgh 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 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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Solution Architect/ Engineer - Senior Manager in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Solution Architect/Engineer. Highlight your experience with AI models, cloud platforms, and any sales-oriented projects you've worked on. 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 and non-technical teams in the past. We love a good story!
Showcase Your Technical Expertise: Don’t hold back on your technical skills! Make sure to mention your experience with LLMs, SLMs, and any cloud services like AWS or Azure. We’re looking for someone who can demonstrate their knowledge and communicate it effectively to clients.
Apply Through Our Website: We encourage you to apply through our website for a smoother application 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
✨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 Vertex AI, or Azure ML. 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 expertise and ability to deliver measurable business value.
✨Understand the Bigger Picture
Show that you grasp the complexities of data engineering, machine learning, and cloud security. Be ready to explain how these elements come together to create viable AI solutions. This will help you position yourself as a trusted advisor who can navigate both technical and non-technical discussions.