SR2 | Socially Responsible Recruitment | Certified B Corporation™
Principal Microsoft AI Consultant

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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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