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Hunter Bond

AI Manager : Global Enterprise : London, hybrid : £110k

London
£110k/yr
Posted 1 day ago
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AI Manager

Our client, a leading enterprise organisation undergoing a significant AI transformation, is looking to appoint an experienced AI Manager to lead the delivery of innovative AI solutions across the business. This is an exciting opportunity to shape the future of enterprise AI, managing a talented engineering team while driving the successful delivery of cutting-edge AI initiatives including Generative AI, AI Agents and Voice AI.

If you're passionate about building high-performing teams, delivering enterprise-scale AI solutions, and influencing AI strategy, we'd love to hear from you.

The Opportunity

As AI Manager, you'll play a pivotal role in leading the AI Engineering function, working closely with Solution Architects, Product Managers and senior business stakeholders to deliver an ambitious AI roadmap.

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.

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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

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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.

You'll be responsible for both people leadership and technical delivery, ensuring AI solutions move efficiently from concept through to production whilst maintaining the highest standards of engineering excellence, governance and operational performance.

Key Responsibilities

  • Team Leadership & Development
  • Strategic Delivery & Roadmap Ownership
  • Stakeholder Management & Governance
  • Quality & Performance Management

About You

We're looking for an experienced technology leader who combines strong people management skills with a genuine passion for AI innovation.

Essential Experience

  • Proven experience leading and developing technical teams within a software engineering or AI environment
  • Demonstrable experience delivering enterprise AI initiatives, including Generative AI, AI Agents, Voice AI or similar intelligent automation technologies
  • Strong understanding of modern software engineering principles and development methodologies
  • Commercial mindset with the ability to assess business value and ROI when prioritising AI initiatives
  • Working knowledge of cloud platforms and modern AI technologies
  • Understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering and Python
  • Experience managing Agile delivery and cross-functional stakeholder engagement

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Desirable Experience

  • Hands-on software development or AI engineering experience
  • Exposure to AI Operations (AIOps), MLOps and production AI environments
  • Experience working with digital platforms, web or mobile technologies
  • Knowledge of modern data platforms and Data Lake architectures
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Skills

AI Management
Generative AI
AI Agents
Voice AI
People Leadership
Software Engineering
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Python
Agile Delivery
Stakeholder Management
MLOps
AIOps
Cloud Platforms
Data Lake Architectures

Location

London, England, United Kingdom

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