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La Fosse

Solutions Architect- AI and Azure Data Platform

England
£84k/yr
Posted about 20 hours ago
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Solutions Architect - AI and Azure Data Platform

Role Type: Permanent, full-time

Working model: Remote (occasional office travel to either London, Birmingham, or Newcastle)

Salary: Up to £84K

Industry: Healthcare

Overview:

The Solutions Architect (AI and Azure Data Platform) leads the design and assurance of AI, ML, and Azure Data Platform solutions to support on digital transformation. The role ensures data and AI services align with organisational objectives and integrate with the wider Enterprise Architecture. It translates business requirements into cohesive data and AI designs, defines the use of Microsoft Azure and related AI technologies, and guides delivery teams through implementation.

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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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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Key Responsibilities

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  • Define and mature the company’s AI roadmap
  • Drive automation and productivity improvements through AI
  • Architect scalable EDP solutions
  • Provide guidance on data governance, quality, and engineering patterns
  • Identify and champion real business use cases for AI

Experience Required:

  • Extensive experience delivering solutions on the Azure Data Platform (e.g., Synapse, Data Lake, Databricks, Azure ML, Cognitive Services, Power BI).
  • Strong AI/ML architecture expertise, including MLOps, model lifecycle management, and embedding AI into business processes.
  • Solid knowledge of modern data engineering (pipelines, streaming, event-driven design, APIs).
  • Experience with cloud-native, microservices, and SaaS integration patterns.
  • Clear understanding of data governance, security, and responsible AI in regulated settings.
  • Proficient in Python, SQL, R, Spark, or similar technologies.
  • Background in Agile and DevOps, with CI/CD for data and AI delivery.
  • Effective communicator, translating AI and technical concepts for non-technical stakeholders.
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Skills

Azure Data Platform
AI Architecture
MLOps
Data Engineering
Python
SQL
R
Spark
Synapse
Databricks
Azure ML
Power BI
Agile
DevOps
CI/CD
Data Governance

Location

England, United Kingdom

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