AI Solution Engineer - Manager
Pwc (Nonpublic Postings) Open · verified Oct 25, 2026 At a glance
Manager-level Solutions & Sales Engineering role at Pwc (Nonpublic Postings). London · full-time · no salary stated · we estimate CA$81,075–CA$131,122 across Canada.
Pwc (Nonpublic Postings) has not published a salary for this role. The figure below is our estimate, not theirs.
growthroles summary, based on the employer's posting.
What you'll do
- Shape feasible AI solutions for enterprise customer needs, then build cloud prototypes that make their value clear
- Help sales teams choose AI and machine-learning approaches and explain how they address a prospect’s business problem
- Demonstrate technical capabilities to clients during early sales conversations and support proposal work
- Connect industry architects identifying AI opportunities with the teams able to develop the solutions
What you bring
- You have extensive experience working with sales teams to shape software solutions for enterprise customers
- You can assess LLM and SLM performance, fit, training needs, and deployment approaches
- You have hands-on experience with at least two of AWS, Google Vertex AI, OpenAI, or Azure ML
- You understand machine learning, statistics, data engineering, and the data and process conditions needed for successful delivery
Who this fits
This manager-level role suits someone with strong technical judgment and business acumen who can explain AI solutions to technical and non-technical audiences. The work is primarily sales-oriented, with travel of up to sixty percent. The role offers visa sponsorship.
From the employer
Line of Service
Internal Firm ServicesIndustry/Sector
TechnologySpecialism
Technology StrategyManagement Level
ManagerJob Description & Summary
About the role
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
What your days will look like;
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 is required
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.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Amazon Web Services (AWS), Analytical Thinking, Business Architecture, Business Continuity, Business Process Modeling, Business Process Workflow, Coaching and Feedback, Communication, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Application Integration, Enterprise Architecture (EA), Enterprise Integration, Enterprise Service Bus (ESB), Google Cloud Platform, Inclusion, Intellectual Curiosity, IT Service Management (ITSM), Learning Agility {+ 15 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 60%Available for Work Visa Sponsorship?
YesGovernment Clearance Required?
NoJob Posting End Date
August 20, 2026
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