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Queen Square Recruitment

Sr AI Engineer

London
Posted 1 day ago
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New Exciting opportunity for the role of Senior AI Engineer

Location: London (Hybrid- 1 day in office)
Contract Duration: 6 Months
IR35 Status: Inside IR35

The Role

This role will have a significant impact on delivering innovative solutions for one of the leading retailers in the UK, driving digital transformation and enhancing customer experiences. You’ll work on projects that leverage cutting-edge technologies such as microservices, event-driven architectures, and cloud platforms, contributing to scalable, secure, and high-performing systems.

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.

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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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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

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Your Profile

Key Responsibilities

  • Design agent architectures
  • Define orchestration patterns
  • Design tool strategy and integration approach
  • Lead implementation of AI services
  • Establish coding standards and best practices
  • Guide evaluation and safety approaches
  • Support production deployments and troubleshooting

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Hands-on Skills Required

  • Design multi-agent solutions
  • Design RAG architecture
  • Implement complex orchestration workflows
  • Build scalable AI microservices
  • Define AI governance patterns
  • Troubleshoot production AI solutions

Technologies

  • Azure OpenAI
  • Azure AI Foundry
  • Semantic Kernel
  • LangGraph
  • MCP
  • Azure AI Search
  • Event-driven architectures
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Skills

Design Agent Architectures
Define Orchestration Patterns
Design Tool Strategy
Lead Implementation of AI Services
Establish Coding Standards
Guide Evaluation Approaches
Support Production Deployments
Design Multi-Agent Solutions
Implement Complex Orchestration Workflows
Build Scalable AI Microservices
Define AI Governance Patterns
Troubleshoot Production AI Solutions
Azure OpenAI
Azure AI Foundry
Event-Driven Architectures

Location

London, England, United Kingdom

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