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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.
- 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 clients.
- Qualifications: Experience in AI model architecture and cloud technologies required.
The predicted salary is between 43200 - 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.
- 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 Engineer - Manager employer: PwC UK
Contact Detail:
PwC UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Engineer - Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI solutions and prototypes. This is your chance to demonstrate your technical expertise and problem-solving abilities. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Solution Engineer roles and practice your responses. Be ready to discuss your experience with cloud platforms and how you've tackled real-world problems using AI.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your relevant experience and how you can bridge the gap between technical teams and sales. Let's make it happen!
We think you need these skills to ace AI Solution Engineer - Manager
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 support you've provided. 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 Skills: Don’t hold back on your technical expertise! Make sure to mention your experience with LLMs, SLMs, and any cloud services like AWS or Azure. We’re keen to see how you can demonstrate AI solutions to clients.
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, we love seeing applications come in directly!
How to prepare for a job interview at PwC UK
✨Know Your AI Solutions
Make sure you brush up on the latest AI technologies and solutions, especially those related to LLMs and SLMs. Be ready to discuss how these can be applied to real-world business problems, as this will show your technical expertise and understanding of client needs.
✨Bridge the Gap
Since this role involves liaising between technical teams and non-technical stakeholders, practice explaining complex AI concepts in simple terms. Use examples from your past experiences to demonstrate how you've successfully communicated technical solutions to clients.
✨Showcase Your Sales Experience
Highlight your experience working with sales teams and shaping software solutions. Prepare specific examples of how you've contributed to the sales process, particularly in demonstrating AI solutions that meet client requirements.
✨Understand Cloud Offerings
Familiarise yourself with the cloud platforms mentioned in the job description, like AWS, Google Cloud, and Azure. Be prepared to discuss their features and how they can be leveraged to create effective AI solutions, as this knowledge will set you apart from other candidates.