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PwC UK

AI Solution Engineer - Manager

Birmingham
Posted about 1 month ago
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AI Solution Engineer - Manager

AI Solution Engineer – Principal IT Consultant (AI)

About the Role

We are looking for an experienced AI Solution Engineer to act as the key link between PwC’s industry architects (who identify AI business cases) and the firm’s development capabilities.

This role is responsible for:

  • Shaping AI solutions that meet client needs and deliver measurable business value
  • Ensuring technical feasibility in early engagements
  • Selecting, designing, and demonstrating prototype solutions that align with customer requirements and business objectives
  • Acting as a trusted technical advisor, blending :
    • Technical expertise
    • Problem-solving skills
    • Business acumen
  • Leading cloud-based AI prototypes to communicate solution value to both technical and non-technical stakeholders
  • Identifying viable, feasible AI solutions to address client challenges while showcasing PwC’s technical capabilities in proposals
  • Having deep expertise in hyperscaler AI offerings, understanding:
    • Technical requirements and dependencies
    • Product/solution complexities
    • How to export practical value propositions to potential clients

What Your Day Will Look Like

Primarily sales-oriented, this role sits at the intersection of:

  • Technical teams (to validate solution feasibility)
  • Non-technical sales teams (to articulate solutions)

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Core Focus Areas

  • Supporting the sales pipeline with actionable AI insights
  • Bridging the gap between technology and business teams
  • Assisting sales teams in:
    • Selecting appropriate AI/ML solutions
    • Demonstrating their ability to solve client business problems
    • Showcasing AI technical excellence during early engagement discussions

This Role Is For You If You Have

Core Technical Expertise

  • Extensive experience working closely with sales teams to shape feasible and scalable software solutions for enterprise clients, especially in process transformation
  • Deep knowledge of AI model architecture, including:
    • Practical expertise in LLMs (Large Language Models) & SLMs (Small Language Models)
    • Understanding of performance optimization, suitability, training requirements, and deployment challenges
  • Mandatory cloud platform experience: Hands-on experience in at least two of the following:
    • AWS Bedrock / SageMaker
    • Google Vertex AI
    • OpenAI services
  • Azure ML (Required knowledge as a baseline)
  • Fundamentals of:
    • Statistical modeling
    • Machine learning principles
    • Data science and machine learning applications
    • Big data engineering

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Process & Business Relevance

  • Aide in:
    • Capturing process complexities and data prerequisites for solutions
    • Defining success criteria that map to both user and business needs

Cloud Operations

  • Security & governance:
    • Familiarity with landing zones, threat modeling, and AI-driven security implications
  • Cost optimization:
    • Experience in Microsoft, Google Cloud and AWS capabilities aligned to AI operations cost reduction

What You’ll Receive from Us

Our benefits are designed to support your career and personal needs, ensuring recognition and fair reward for your impact.

Key Emphasis Areas

  • Empowered flexibility:
    • Flexible working models, combining onsite, hybrid (office/home), and client site locations
  • Comprehensive health and well-being:
    • Private medical coverage, including 24/7 access to a virtual GP for urgent advice
    • Full-quality support packages
  • Social responsibility:
    • Six days of formal volunteering leave per year, fostering community engagement initiatives

This blends performance alignment with holistic support—where your contributions are rewarded along with diverse opportunities to grow both professionally and personally.

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Skills

AI Solution Engineering
Sales Support
Cloud Prototypes
Large Language Models
Small Language Models
AWS Bedrock
Google Vertex AI
OpenAI
Azure ML
Machine Learning
Data Science
Data Engineering
Big Data
Cloud Security
AI Cost Optimisation

Location

Birmingham, England, United Kingdom

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