Hybrid AI Solutions Developer: Copilot & Platform

Westcoast Limited

Reading

Hybrid

GBP 65,000 - 75,000

Full time

8 days ago

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Job summary

Westcoast Cloud is seeking a hands-on AI Solutions Architect to drive AI adoption across the business. You will design, build and deploy secure, scalable AI solutions using Microsoft Copilot Studio, Power Platform and Azure AI services, collaborating with IT, data and business stakeholders.

You will establish best practices, governance standards and reusable frameworks, ensuring solutions are user-friendly, well-managed and aligned with responsible AI principles while delivering measurable

Qualifications

Practical experience developing solutions with Microsoft Copilot Studio, Power Platform and AI technologies.
Strong understanding of generative AI concepts, prompt design, grounding, agents and workflow automation.
Experience gathering requirements and converting business problems into reliable technical solutions.
Ability to integrate solutions with APIs, data sources and business applications using secure and supportable methods.
Working knowledge of Microsoft 365, Teams, SharePoint, Dataverse and the wider Microsoft cloud ecosystem.
Understanding of security, identity, permissions, data protection and governance, ideally including Microsoft Entra and the Power Platform administration model.
A logical and methodical approach to development, testing, troubleshooting and root-cause analysis.
Clear written and verbal communication with non-technical stakeholders.
Strong organisational skills and attention to detail with multi-workstream management.
Microsoft certifications such as AI-900, PL-900, PL-400, PL-600, AZ-204 or equivalent experience.

Responsibilities

Engaging with teams across Group entities to identify problems and define AI use cases.
Designing and developing solutions using Copilot Studio, Power Platform and Azure AI services.
Creating custom copilots, agents, workflows, prompts and integrations with business systems.
Building prototypes and proofs of concept and translating them into production-ready solutions.
Translating requirements into solution designs, user stories and technical specs.
Testing solutions for quality, usability, performance, security and reliability.
Managing deployment, version control and release processes across environments.
Collaborating with IT, infosec and stakeholders to ensure governance and responsible AI throughout the lifecycle.