AI Solution Engineer - Manager

Pwc (Crm Experienced Careers Site) Open · verified Sep 24, 2026

8 Locations Full-time Manager Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Pwc (Crm Experienced Careers Site). 8 Locations · full-time.

Pay not stated

RoleSolutions & Sales Engineering

SeniorityManager

Location8 Locations

EmploymentFull-time

PostedAug 24, 2026 · 4w ago

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Shape, select, and deliver cloud-based AI prototypes that address client needs and business goals
Support early sales conversations by translating AI and machine learning solutions for non-technical sellers
Demonstrate proposed solutions to technical and non-technical stakeholders during client engagements
Use hyperscaler AI offerings to explain solution dependencies, feasibility, and technical requirements
Contribute technical AI evidence to proposals and show how solutions resolve specific client issues

What you bring

Extensive experience partnering with sales teams to shape feasible software solutions for enterprise process change
Proven knowledge of LLM and SLM architecture, including performance, training needs, suitability, and deployment
Hands-on experience with at least two named platforms, including AWS Bedrock, SageMaker, Google Vertex AI, OpenAI, or Azure ML
Working knowledge of statistics, machine learning, data science, data engineering, and big data concepts
Understanding of cloud landing zones, security practices, and AI cost optimization

Who this fits

You’ll suit a manager-level, sales-oriented technical role that connects industry architects, developers, sellers, and clients. The work fits someone who can communicate AI value across technical and non-technical audiences while building cloud prototypes. Expect a working split across office, home, and client sites, with travel of up to sixty percent. Visa sponsorship is available.

From the employer

Line of Service

Internal Firm Services

Industry/Sector

Technology

Specialism

Technology Strategy

Management Level

Manager

Job 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?

Yes

Government Clearance Required?

Job Posting End Date

August 20, 2026