Job Detail

AI Solution Engineer, Manager

Data Science and AI Full–time
ID: #10668
Posted: 2026-02-27
Salary

Description

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, Enterprise Integration, Enterprise Service Bus (ESB), Google Cloud Platform (GCP), Inclusion, Influence, Intellectual Curiosity, IT Service Management (ITSM) {+ 18 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 60% Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date

Hard Skills 2
Skill Source Confidence
Large Language Models (LLMs) llm_hard
100%
Google Cloud AI llm_hard
100%
Soft Skills 33
Skill Source Confidence
Embracing Change llm_soft
100%
Coaching llm_soft
100%
Empathy llm_soft
100%
Giving and Receiving Feedback llm_soft
100%
Teamwork llm_soft
100%
Collaboration llm_soft
100%
Influence llm_soft
100%
Cross-Functional Communication llm_soft
100%
Explaining Complex Ideas Clearly llm_soft
100%
Problem-Solving llm_soft
100%
Inclusion llm_soft
100%
Creativity llm_soft
100%
Stakeholder Communication llm_soft
100%
Analytical Thinking llm_soft
100%
Digital Literacy llm_soft
100%
Tech Savviness llm_soft
100%
Presentation Skills llm_soft
100%
Adaptability llm_soft
80%
Leadership llm_soft
80%
Decision-Making llm_soft
80%
Cross-Team Collaboration llm_soft
80%
Networking llm_soft
80%
Critical Thinking llm_soft
80%
Active Listening llm_soft
80%
Emotional Intelligence llm_soft
80%
Time Management llm_soft
80%
Self-Management llm_soft
80%
Goal Setting llm_soft
80%
Customer Service llm_soft
80%
Client Relations llm_soft
80%
Customer Focus llm_soft
80%
Continuous Learning llm_soft
80%
Accepting Constructive Criticism llm_soft
80%
Apply Options
Publisher Direct Link
Simplify No Apply
Simplify No Apply
API Logs for this Job
Query Country Status Response ms Created
AI Solution Engineer, Manager extracted 11340 2026-03-22 02:35
AI Solution Engineer, Manager classified 437 2026-03-21 21:03
junior deep learning engineer in Edinburgh gb duplicate 5067 2026-03-21 17:12
junior ML engineer in Edinburgh gb duplicate 7016 2026-03-21 17:01
junior machine learning engineer in Edinburgh gb processed 7696 2026-03-21 16:58
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