AI Factory Lead Architect in Kennington

AI Factory Lead ArchitectPosition OverviewThe AI Factory Lead Architect will lead Advania UK's internal AI Factory, turning high-value business opportunities into impactful AI solutions using Microsoft technologies, including Copilot Studio, Microsoft Foundry and Azure AI.
All potential applicants are encouraged to scroll through and read the complete job description before applying.
This hands-on role combines technical leadership with stakeholder engagement, requiring the ability to design, build and deliver AI applications, agents and automations that drive measurable business outcomes.You will define the architecture, standards and governance for Advania's AI estate, lead a small team of AI engineers, and ensure solutions are secure, scalable and supportable.
Working closely with business leaders, the CTO and CIO, you'll help accelerate Advania's AI transformation while enabling a wider community of AI innovators across the organisation.Salary & BenefitsThe budgeted salary for this role is up to 90,000 year, depending on experience.Click here for the list of benefits.Hybrid workingWe recognise the benefits that remote and flexible working brings.We operate a hybrid working policy that allows our employees to balance time in the office and time from home.
Each team within our organisation can decide how to implement this policy.
If you have any questions after applying, please reach out to our recruitment team.ResponsibilitiesDesign and build AI applications, agents, automations and dashboards, selecting the right pattern for each business challenge
- agentic, retrieval-based, workflow, or conventional automationOwn the end-to-end architecture of the internal AI estate – reference architectures, environment and tenant strategy, security, cost management, observability, and the DevOps and source control processes which support itRun discovery and shaping sessions with business stakeholders and process owners – translating stated needs into well-defined, feasible use cases with a clear value hypothesis, success measures and adoption planProvide day-to-day technical direction to the team – setting the approach, reviewing designs and code, pairing where useful, and developing their skills across both pro-code and low-code disciplinesImplement Microsoft-specific technical governance – in Copilot Studio, Power Platform, Azure DevOps, and our Azure subscriptions used for hostingDefine and run the support model for the AI estate – monitoring and alerting, incident response, change and release management, documentation and knowledge