AI Solutions Architect (Practice Building and Adoption) - Up to £95k - Remote
Why This Role Stands Out
This remote opportunity offers the chance to build and shape an AI practice within a leading consultancy, driving enterprise adoption and innovation with a competitive salary up to £95k. You'll thrive here if you have a proven track record in establishing AI frameworks, embedding AI solutions, and translating complex business needs into impactful technology roadmaps.
Quick Overview
Job Description
AI Solutions Architect (Practice Building and Adoption) - Up to £95k - Remote
A leading consiultancy requires an AI Solutions Architect with strong experience of builidng AI practices and owbning enetrprise adoption).
A key focus of the role will be to build an AI proctiicve for the organisation with a focus on governance. Following this, your focus will be embedding AI into existing products, services, operational capabilities and delivery practices, while also developing specific AI product offerings, internal tooling, process automation, knowledge enablement and engineering accelerators.
Please note this is NOT a development/engineering role.
Suitable candidates will have experience of the folloiwng:
- Building AI prcatices within organisations
- Introducing secure, governed and supportable AI adoption through modern delivery and assurance practices.
- Embedding AI into existing services and internal operating capabilities.
- Defining and maturing specific AI product offerings with clear service, commercial and operational models.
- Improving automation, documentation, knowledge management, engineering productivity and operational efficiency.
- Designing and delivering enterprise-scale technology, automation, data, AI-enabled or software-integrated solutions.
- Working in customer-facing architecture, consultancy or pre-sales roles.
- Translating business requirements into solution designs, roadmaps, operating models and delivery plans.
- Creating reference architectures, implementation patterns, proposal content and reusable delivery frameworks.
- Applying modern delivery, secure engineering, automation, release management or platform operating practices.
- Working with security, governance, compliance, service design and operational transition teams.
- Shaping commercial opportunities, bids, statements of work, managed service propositions or customer workshops.
- Defining, packaging or launching repeatable technology product offerings, accelerators or customer-facing propositions.
Please send CV for an informal chat and full job description. Excellent opportunity to join a market leader when you can play a key role in its AI future!
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