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SR2 | Socially Responsible Recruitment | Certified B Corporation™

Principal Microsoft AI Consultant

United Kingdom
£95k – £110k/yr
Posted about 14 hours ago
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Principal Microsoft AI Consultant

£95,000–£110,000 | Remote | Permanent | Very Occasional UK Client Travel

SR2 is partnering with an exciting UK technology consultancy to hire a Principal Microsoft AI Consultant who can take enterprise AI solutions from discovery and prototype through to secure, supported production.

This is a hands-on senior role for someone who wants to build real AI solutions rather than remain focused on proofs of concept, presentation-led architecture or Copilot configuration. The consultancy works across technology consulting, digital transformation, cyber security, applications, data & AI, networking and infrastructure.

What you'll be doing

  • Lead AI discovery workshops with clients, identifying high-value and technically viable use cases.
  • Design and deliver production-grade generative AI and agentic solutions using Microsoft Foundry / Azure AI Foundry, Azure OpenAI and Foundry Agent Service.
  • Build RAG solutions using Azure AI Search and enterprise data sources.
  • Work across model selection, prompt orchestration, grounding, memory, tool calling and agent workflows.
  • Develop application and integration components using Python, C#, .NET or TypeScript.
  • Integrate AI services with enterprise applications, APIs, data platforms and business workflows.
  • Architect secure Azure environments using Entra ID, RBAC, managed identities, Key Vault, private networking and Azure Policy.
  • Establish evaluation frameworks covering groundedness, relevance, safety, task completion, latency, cost and user outcomes.
  • Implement monitoring, tracing, observability, CI/CD and infrastructure-as-code so solutions remain supportable after go-live.
  • Contribute to pre-sales, demonstrations, technical proposals and reusable AI reference architectures.
  • Mentor and support other engineers when needed.
  • Work directly with clients while remaining highly hands-on technically.

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.

What we're looking for

  • Evidence of taking at least one substantial Microsoft Foundry, Azure AI Foundry, Azure AI Studio or Azure OpenAI solution into production.
  • Strong software engineering capability in Python, C#, .NET or TypeScript.
  • Practical experience with RAG, vector search, agents, tool calling or modern generative AI patterns.
  • Experience evaluating AI quality beyond manual demonstrations.
  • Strong understanding of enterprise Azure architecture, security, identity, networking and operational support.
  • Experience moving AI solutions from prototype into secure, maintainable production environments.
  • Confidence discussing architecture, models, security, cost and data trade-offs with senior stakeholders.
  • Consultancy, professional services or similarly demanding client-facing delivery experience.

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Useful additional experience

  • Semantic Kernel, Microsoft Agent Framework, LangChain or LangGraph.
  • Azure AI Search, Document Intelligence or Content Safety.
  • Microsoft Fabric or Databricks.
  • Azure Container Apps, Functions, App Service or AKS.
  • MLOps / LLMOps and production AI monitoring.
  • Healthcare, public sector or other regulated environments.

The environment

  • Join a consultancy of around 100 people, operating through a number of smaller specialist teams.
  • UK remote working with occasional client-site travel around the UK - this is not expected to be frequent.
  • Report directly to the COO, giving the role strong visibility and influence.
  • Help shape technical standards, reusable accelerators and the organisation's wider Microsoft AI capability.
  • Mentor other team members when required.
  • Within six months, success means establishing a repeatable Microsoft AI delivery approach, leading a client engagement and delivering or materially progressing a secure production AI solution.

Interview process

  • 30-minute initial conversation with the COO / CTO
  • 1-hour technical test
  • Final-stage interview
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Skills

Azure AI Foundry
Azure OpenAI
RAG
Python
C#
.NET
TypeScript
Azure AI Search
Prompt Orchestration
Azure Security
CI/CD
Infrastructure-as-Code
Agentic Solutions
Enterprise Architecture
Technical Consulting
LLMOps

Location

United Kingdom

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